Jonathan P. How

发表

Dynamic Mission Planning for Communication Control in Multiple Unmanned Aircraft Teams

Andrew Kopeikin, Sameera S. Ponda, Luke B. Johnson, 2013 .

Decentralized Task Allocation Using Local Information Consistency Assumptions

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2017, J. Aerosp. Inf. Syst..

Motion Planning in Complex Environments using Closed-loop Prediction

Jonathan P. How, Emilio Frazzoli, Yoshiaki Kuwata, 2008 .

Case Studies in Data-Driven Verification of Dynamical Systems

Ufuk Topcu, Jonathan P. How, Alexandar Kozarev, 2016, HSCC.

Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments

Jonathan P. How, Daniel S. Levine, Spencer Ahrens, 2009, 2009 IEEE International Conference on Robotics and Automation.

Aircraft trajectory planning with collision avoidance using mixed integer linear programming

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Asynchronous Decentralized Task Allocation for Dynamic Environments

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2011 .

Robust Powered Descent with Control Contraction Metrics

Jonathan P. How, Jean-Jacques E. Slotine, Brett Thomas Lopez, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Predictive Modeling of Pedestrian Motion Patterns with Bayesian Nonparametrics

Jonathan P. How, Yu Fan Chen, Miao Liu, 2016 .

Autonomous drifting using simulation-aided reinforcement learning

Jonathan P. How, Mark Cutler, J. How, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

GPS-Degraded Navigation [About This Issue]

Jonathan P. How, J. How, 2018, IEEE Control Systems.

Local control design methodologies for a hierarchic control architecture

Jonathan P. How, Steven R. Hall, J. How, 1991 .

Robust Collision Avoidance via Sliding Control

Jonathan P. How, Jean-Jacques E. Slotine, Brett Thomas Lopez, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Improving PAC Exploration Using the Median Of Means

Jonathan P. How, Jason Pazis, Ronald Parr, 2016, NIPS.

Experimental Demonstration of Coordinated Control for Multi-Vehicle Teams

Jonathan P. How, Ellis King, M. Alighanbari, 2004 .

Active vibration isolation using adaptive feedforward control

Jonathan P. How, Eric H. Anderson, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

8 Cooperative Spacecraft Formation Flying: Model Predictive Control with Open-and Closed-Loop Robustness

Jonathan P. How, Gokhan Inalhan, Louis S. Breger, 2006 .

Implementation of a Manned Vehicle - UAV Mission System

Jonathan P. How, Yoshiaki Kuwata, Eric Feron, 2004 .

Robust variable horizon model predictive control for vehicle maneuvering

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2006 .

Technical Writing [From the Editor]

Jonathan P. How, 2019 .

The Impact of Human–Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control

Jonathan P. How, Mary L. Cummings, Andrew Whitten, 2012, Proceedings of the IEEE.

A resource-aware approach to collaborative loop-closure detection with provable performance guarantees pdf

Jonathan P. How, Yulun Tian, Kasra Khosoussi, 2019, Int. J. Robotics Res..

Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints

Jonathan P. How, Erin Evans, Stephen Thrasher, 2018, 2018 European Control Conference (ECC).

Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set

Jonathan P. How, Vishnu R. Desaraju, Georges Aoude, 2012, IEEE Transactions on Intelligent Transportation Systems.

Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions

Jonathan P. How, Christopher Amato, Shayegan Omidshafiei, 2017, Int. J. Robotics Res..

Analytical performance prediction for robust constrained model predictive control

Jonathan P. How, Arthur Richards, Louis S. Breger, 2006 .

Benchmarks [From the Editor]

Jonathan P. How, 2015 .

The MIT Indoor Multi-Vehicle Flight Testbed

Jonathan P. How, Spencer Ahrens, Mario J. Valenti, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Real-Time Motion Planning With Applications to Autonomous Urban Driving

Jonathan P. How, Emilio Frazzoli, Yoshiaki Kuwata, 2009, IEEE Transactions on Control Systems Technology.

Autonomous aircraft flight control for constrained environments

Jonathan P. How, George H. Hines, Adrian A. Frank, 2008, 2008 IEEE International Conference on Robotics and Automation.

Experiments in GPS Attitude Determination for Spinning Spacecraft with Non-aligned Antenna Arrays

Jonathan P. How, John Carl Adams, Eric A. Olsen, 1998 .

J2-Modified GVE-Based MPC for Formation Flying Spacecraft

Jonathan P. How, Louis S. Breger, 2005 .

An outer-approximation approach for information-maximizing sensor selection

Han-Lim Choi, Jonathan P. How, Paul I. Barton, 2012, Optimization Letters.

Estimation-based multi-channel adaptive algorithm for filtered-LMS problems

Jonathan P. How, Babak Hassibi, B. Sayyarrodsari, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Analysis of mutual information for informative forecasting using mobile sensors

Han-Lim Choi, Jonathan P. How, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control

Jonathan P. How, Girish Chowdhary, Thomas J. Walsh, 2014, J. Aerosp. Inf. Syst..

Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions pdf

Jonathan P. How, Sarah Ferguson, Robert C. Grande, 2014, WAFR.

Context-Aware Pedestrian Motion Prediction In Urban Intersections pdf

Jonathan P. How, Golnaz Habibi, Nikita Jaipuria, 2018, ArXiv.

Adaptive-optimal control of constrained nonlinear uncertain dynamical systems using concurrent learning model predictive control

Florian Holzapfel, Jonathan P. How, Girish Chowdhary, 2013 .

Actor-Critic Policy Learning in Cooperative Planning

Alborz Geramifard, Jonathan P. How, Joshua D. Redding, 2010, AAAI Spring Symposium: Embedded Reasoning.

Control of Infrastructure [About This Issue]

Jonathan P. How, J. How, 2015 .

Experimental demonstration of coordinated control for multi-vehicle teams

Jonathan P. How, Yoshiaki Kuwata, Ellis King, 2006, Int. J. Syst. Sci..

Health aware stochastic planning for persistent package delivery missions using quadrotors

Jonathan P. How, N. Kemal Ure, Ali-akbar Agha-mohammadi, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection

Jonathan P. How, Kasra Khosoussi, Matthew Giamou, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Spacecraft formation flying control design for the Orion mission

Jonathan P. How, Gokhan Inalhan, Andrew D. Robertson, 1999 .

Model estimation within planning and learning

Alborz Geramifard, Jonathan P. How, Joshua D. Redding, 2012, 2012 American Control Conference (ACC).

The role of information assumptions in decentralized task allocation: A tutorial

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2016, IEEE Control Systems.

Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]

Oliver Brock, Jonathan P. How, Hadas Kress-Gazit, 2019, IEEE Robotics Autom. Mag..

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning pdf

Jonathan P. How, Gerald Tesauro, Miao Liu, 2019, ArXiv.

Search and rescue under the forest canopy using multiple UAVs

Jonathan P. How, Nicholas Roy, Loc Tran, 2019, Int. J. Robotics Res..

Approximate dynamic programming using Bellman residual elimination and Gaussian process regression

Jonathan P. How, Brett Bethke, 2009, 2009 American Control Conference.

Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles

Jonathan P. How, Albert Wu, J. How, 2012, Autonomous Robots.

Receding horizon control of autonomous vehicles

Jonathan P. How, Arthur Richards, John Bellingham, 2002 .

Model free subspace based H∞ control

Jonathan P. How, Bruce R. Woodley, R. L. Kosut, 2001, ACC.

Dynamic Models for Speech Applications

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Algorithm and sensitivity analysis of information-theoretic ensemble-based observation targeting

Han-Lim Choi, Jonathan P. How, James A. Hansen, 2008 .

Decision Making Under Uncertainty: Theory and Application

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Adaptive Observation Strategies for Forecast Error Minimization

Han-Lim Choi, Jonathan P. How, Nicholas Roy, 2007, International Conference on Computational Science.

Human aware UAS path planning in urban environments using nonstationary MDPs

Jonathan P. How, Girish Chowdhary, Weihua Sheng, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Finite element model based robust controllers for the MIT Middeck Active Control Experiment (MACE)

Jonathan P. How, Roger M. Glaese, David W. Miller, 1994, Proceedings of 1994 American Control Conference - ACC '94.

LMI synthesis of parametric robust /spl Hscr//sub /spl infin// controllers

Jonathan P. How, David Banjerdpongchai, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Techniques For Real-Time Control Of Flexible Structures Using Gps

Jonathan P. How, Bradford W. Parkinson, Edward Harrison Teague, 1996 .

COORDINATION AND CONTROL OF MULTIPLE UAVs

Jonathan P. How, Arthur Richards, Michael Tillerson, 2002 .

Local control design methodologies for a hierarchic control architecture

Jonathan P. How, Steven R. Hall, 1991 .

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes

Jonathan P. How, Girish Chowdhary, Robert C. Grande, 2014, J. Aerosp. Inf. Syst..

Trajectory Planning for Autonomous Parafoils in Complex Terrain

Jonathan P. How, Louis S. Breger, Brian Le Floch, 2017 .

Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support

Sameera S. Ponda, Luke B. Johnson, Jonathan P. How, 2012, 2012 IEEE Globecom Workshops.

Implementation and prevention of unstable optimal compensators

Jonathan P. How, Douglas G. MacMartin, J. How, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Planning and Learning under Uncertainty: Theory and Practice

Jonathan P. How, 2017, KDD.

Coordination and Control of Multiple Spacecraft using Convex Optimization Techniques

Jonathan P. How, 2002 .

Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification pdf

Jonathan P. How, Brett Thomas Lopez, Shayegan Omidshafiei, 2016, ArXiv.

Robust Decentralized Task Assignment for Cooperative UAVs

Jonathan P. How, M. Alighanbari, J. How, 2006 .

Co‐ordination and control of distributed spacecraft systems using convex optimization techniques

Jonathan P. How, Gokhan Inalhan, Michael Tillerson, 2002 .

Experimental Demonstration of Multi-Agent Learning and Planning under Uncertainty for Persistent Missions with Automated Battery Management

Jonathan P. How, Girish Chowdhary, Joshua D. Redding, 2012 .

Consensus-Based Auction Approaches for Decentralized Task Assignment

Han-Lim Choi, Jonathan P. How, Luc Brunet, 2008 .

Pseudolite augmented navigation for GEO communication satellite collocation

Jonathan P. How, Larry Capots, John Carl Adams, 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).

Elimination of False-Locking in Long Loop Phase-Locked Receivers

Jonathan P. How, Joe McGeehan, J. How, 1982, IEEE Trans. Commun..

Performance evaluation of rendezvous using model predictive control

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2003 .

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures

Jonathan P. How, John W. Fisher, Trevor Campbell, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Robust State Estimation with Sparse Outliers

Jonathan P. How, Donald E. Gustafson, Matthew C. Graham, 2015 .

Formation sensing and control technologies for a separated spacecraft interferometer

Jonathan P. How, Andrew D. Robertson, Tobe’ Corazzini, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Wireless Control of Industrial Processes [About This Issue]

Jonathan P. How, 2019 .

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning

Jonathan P. How, Miao Liu, Yu Fan Chen, 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Distributed Control of Formation Flying Spacecraft Built on OA

Jonathan P. How, Stephanie Thomas, Philip Ferguson, 2003 .

Failure-adverse closed-loop statistical verification

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2019 .

Equivalence between Approximate Dynamic Inversion and Proportional-Integral control

Jonathan P. How, Justin Teo, 2008, 2008 47th IEEE Conference on Decision and Control.

Safe Trajectories for Autonomous Rendezvous of Spacecraft

Jonathan P. How, Louis S. Breger, J. How, 2006 .

A multi-UAV targeting algorithm for ensemble forecast improvement

Han-Lim Choi, Jonathan P. How, 2007 .

Motion planning for urban driving using RRT

Jonathan P. How, Emilio Frazzoli, Yoshiaki Kuwata, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Powered Safe Abort for Autonomous Rendezvous of Spacecraft

Jonathan P. How, Louis S. Breger, J. How, 2007 .

Partial Replanning for Decentralized Dynamic Task Allocation pdf

Han-Lim Choi, Jonathan P. How, Noam Buckman, 2018, AIAA Scitech 2019 Forum.

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures pdf

Jonathan P. How, John W. Fisher, Trevor Campbell, 2016, ArXiv.

Efficient Targeting of Sensor Networks for Large-Scale Systems

Han-Lim Choi, Jonathan P. How, J. How, 2011, IEEE Transactions on Control Systems Technology.

Chapter 11 – Implementation of ΔvΔv Commands

Jonathan P. How, Srinivas R. Vadali, Kyle T. Alfriend, 2010 .

Receding horizon control of autonomous aerial vehicles

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Modeling for Control [About This Issue]

Jonathan P. How, 2015 .

Team MIT Urban Challenge Technical Report

Chris Sanders, Luke Fletcher, Jonathan P. How, 2007 .

Overview of Closed Loop Results for MACE

Jonathan P. How, Jessica A. Woods-Vedeler, Mark Campbell, 1996 .

Spacecraft Formation Flying: Dynamics, Control and Navigation

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2009 .

Bayesian Nonparametric Inverse Reinforcement Learning

Jonathan P. How, Bernard Michini, J. How, 2012, ECML/PKDD.

Synthesizing stability regions for systems with saturating actuators

Jonathan P. How, Stephen Boyd, Haitham Hindi, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Proceedings of AIAA Space Conference, USA

Jonathan P. How, Philip Ferguson, Robert Twiggs, 2001 .

A concurrent learning adaptive-optimal control architecture for nonlinear systems

Florian Holzapfel, Jonathan P. How, Girish Chowdhary, 2013, 52nd IEEE Conference on Decision and Control.

Robust Control Design for Systems with Saturating Nonlinearities

Jonathan P. How, T Pare, H Hindi, 2002 .

Adaptive mission planning for coupled human-robot teams

Luke B. Johnson, Jonathan P. How, Kimberly F. Jackson, 2016, 2016 American Control Conference (ACC).

Output feedback concurrent learning model reference adaptive control

Jonathan P. How, Girish Chowdhary, John F. Quindlen, 2015 .

On Approximate Dynamic Inversion

Jonathan P. How, Justin Teo, 2009 .

Performance and Lyapunov Stability of a Nonlinear Path Following Guidance Method

Jonathan P. How, Sanghyuk Park, John Deyst, 2007 .

Hybrid model reference adaptive control for unmatched uncertainties

Jonathan P. How, Girish Chowdhary, John F. Quindlen, 2015, 2015 American Control Conference (ACC).

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes

Jonathan P. How, Girish Chowdhary, Patricio A. Vela, 2013, 2013 American Control Conference.

Avoid communication outages in decentralized planning

Han-Lim Choi, Jonathan P. How, Olivier Huber, 2010, 2010 IEEE Globecom Workshops.

A robust approach to the UAV task assignment problem

Jonathan P. How, M. Alighanbari, 2008 .

Finite element model-based robust controllers for the middeck active control experiment (MACE)

Jonathan P. How, David W. Miller, Roger Glaese, 1996, IEEE Trans. Control. Syst. Technol..

Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems pdf

Kian Hsiang Low, Jonathan P. How, Quang Minh Hoang, 2018, ArXiv.

Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2014, DARS.

Hierarchic Control Architecture for Intelligent Structures

Jonathan P. How, Edward F. Crawley, Benjamin A. Ward, 1991 .

Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis

Jonathan P. How, Steven R. Hall, 1993 .

Off-Policy Reinforcement Learning with

Jonathan P. How, Girish Chowdhary, Thomas J. Walsh, 2014 .

Reinforcement Learning with Multi-Fidelity Simulators (Poster)

Jonathan P. How, Thomas J. Walsh, Mark Cutler, 2013 .

Real-World Reinforcement Learning via Multifidelity Simulators

Jonathan P. How, Thomas J. Walsh, Mark Cutler, 2015, IEEE Transactions on Robotics.

Efficient reinforcement learning for robots using informative simulated priors

Jonathan P. How, Mark Cutler, J. How, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Application of Optimized Adaptive Control [About This Issue]

Jonathan P. How, 2018 .

Distributed chance-constrained task allocation for autonomous multi-agent teams

Sameera S. Ponda, Luke B. Johnson, Jonathan P. How, 2012, 2012 American Control Conference (ACC).

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

Jonathan P. How, Miao Liu, Christopher Amato, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Online heterogeneous multiagent learning under limited communication with applications to forest fire management

Jonathan P. How, N. Kemal Ure, Ali-akbar Agha-mohammadi, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Control of Flexible Structures Using GPS: Methods and Experimental Results

Jonathan P. How, Bradford W. Parkinson, E. Harrison Teague, 1998 .

Learning Sparse Gaussian Graphical Model with l0-regularization

Jonathan P. How, Beipeng Mu, 2014 .

Safe Reinforcement Learning With Model Uncertainty Estimates

Jonathan P. How, Michael Everett, Björn Lütjens, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Increasing autonomy of UAVs

Jonathan P. How, Nicholas Roy, Abraham Bachrach, 2009, IEEE Robotics & Automation Magazine.

Effects of Navigation Filter Properties on Formation Flying Control

Jonathan P. How, Kyle T. Alfriend, Louis S. Breger, 2004 .

Demonstration of Adaptive Extended Kalman Filter for Low-Earth-Orbit Formation Estimation Using CDGPS

Jonathan P. How, James Simpson, Franz D. Busse, 2002 .

Sample Efficient Reinforcement Learning with Gaussian Processes

Jonathan P. How, Thomas J. Walsh, Robert C. Grande, 2014, ICML.

Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles

Jonathan P. How, Y. Jay Guo, J. P. McGeehan, 2012, IEEE J. Sel. Areas Commun..

L 1 Adaptive Control for Indoor Autonomous Vehicles: Design Process and Flight Testing

Jonathan P. How, Buddy Michini, J. How, 2009 .

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability pdf

Jonathan P. How, Christopher Amato, Jason Pazis, 2017, ICML.

Improving the efficiency of Bayesian inverse reinforcement learning

Jonathan P. How, Bernard Michini, 2012, 2012 IEEE International Conference on Robotics and Automation.

Reconfigurable actuator-sensor arrays for the active control of sound

Jonathan P. How, Donald J. Leo, 1997, Smart Structures.

Nonlinearity in Sensor Fusion: Divergence Issues in EKF, modified truncated SOF, and UKF

Jonathan P. How, Pedro Elosegui, Louis S. Breger, 2007 .

Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems

Jonathan P. How, Eugene Lavretsky, Justin Teo, 2010, IEEE Transactions on Automatic Control.

Multi-UAV Persistent Surveillance With Communication Constraints and Health Management

Jonathan P. How, John Vian, Brett Bethke, 2009 .

Small-variance nonparametric clustering on the hypersphere

Jonathan P. How, John W. Fisher, Trevor Campbell, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Active Exploration in Robust Unmanned Vehicle Task Assignment

Jonathan P. How, Luca F. Bertuccelli, J. How, 2011, J. Aerosp. Comput. Inf. Commun..

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2018, 2018 Annual American Control Conference (ACC).

A perception-driven autonomous urban vehicle

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008 .

Reinforcement learning with misspecified model classes

Alborz Geramifard, Jonathan P. How, Nicholas Roy, 2013, 2013 IEEE International Conference on Robotics and Automation.

ICPL: Intelligent Cooperative Planning and Learning for Multi-agent Systems

Jonathan P. How, Emilio Frazzoli, Nicholas Roy, 2012 .

Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees

Jonathan P. How, Vishnu R. Desaraju, Vishnu Desaraju, 2011, 2011 IEEE International Conference on Robotics and Automation.

Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning

Alborz Geramifard, Jonathan P. How, Joshua D. Redding, 2013, J. Intell. Robotic Syst..

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2013, 2013 European Control Conference (ECC).

R-MADDPG for Partially Observable Environments and Limited Communication pdf

Jonathan P. How, Rose E. Wang, Michael Everett, 2019, ArXiv.

An estimation-based approach to the design of adaptive IIR filters

Jonathan P. How, Babak Hassibi, B. Sayyarrodsari, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

The Orion Microsatellite: A Demonstration of Formation Flying In Orbit

Jonathan P. How, Robert Twiggs, Brian Engberg, 1999 .

MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves pdf

Jonathan P. How, Jesus Tordesillas, J. How, 2020, Comput. Aided Des..

An indoor absolute positioning system with no line of sight restrictions and building-wide coverage

Jonathan P. How, Eric Prigge, E. Prigge, 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

Experimental Results of Concurrent Learning Adaptive Controllers

Jonathan P. How, Girish Chowdhary, Nazim Kemal Ure, 2012 .

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning

Jonathan P. How, Macheng Shen, J. How, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Robust control design with real parameter uncertainty using absolute stability

Jonathan P. How, P. H. Jonathan, 1993 .

Consensus-Based Decentralized Auctions for Robust Task Allocation

Han-Lim Choi, Jonathan P. How, Luc Brunet, 2009, IEEE Transactions on Robotics.

Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns

Jonathan P. How, Nicholas Roy, Georges Aoude, 2013, Auton. Robots.

Control design for the SERC experimental testbeds

Jonathan P. How, Eric H. Anderson, Robert N. Jacques, 1992 .

High-Assurance Control [About This Issue]

Jonathan P. How, 2017 .

An unbiased Kalman consensus algorithm

Jonathan P. How, M. Alighanbari, 2006 .

Decentralized Estimation under Communication Constraints

Jonathan P. How, Emily M. Craparo, Daniela Pucci de Farias, 2007 .

Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2012, IEEE Journal on Selected Areas in Communications.

Scalable reward learning from demonstration

Jonathan P. How, Mark Cutler, Bernard Michini, 2013, 2013 IEEE International Conference on Robotics and Automation.

Robust /spl Hscr//sub /spl infin// controller design for systems with hysteresis nonlinearities

Jonathan P. How, T. E. Pare, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs

Jonathan P. How, Christopher Amato, Ali-akbar Agha-mohammadi, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Behavior Classification Algorithms at Intersections

Jonathan P. How, Lauren H. Stephens, Georges S. Aoude, 2011 .

DECENTRALIZED RECEDING HORIZON CONTROL FOR MULTIPLE UAVS

Jonathan P. How, Yoshiaki Kuwata, 2004 .

Local control design for systems with saturating actuators using the Popov criteria

Jonathan P. How, David Banjerdpongchai, H. Hindi, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Enabling Spacecraft Formation Flying through Spaceborne GPS and Enhanced Automation Technologies

Jonathan P. How, Frank H. Bauer, John Bristow, 1999 .

Control of Power Systems [About This Issue]

Jonathan P. How, 2019 .

Continuous trajectory planning of mobile sensors for informative forecasting

Han-Lim Choi, Jonathan P. How, J. How, 2010, Autom..

Planning Beyond The Sensing Horizon Using a Learned Context

Jonathan P. How, Michael Everett, Justin Miller, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

The Impact of Human-Automation in Decentralized Multiple Unmanned Vehicle Control Automatedmissionplanningforhumanoperatorsofnetworkedautomataisdiscussed; results show that human oversight can significantly improve performance, but for rapid and/or precise calculations, human aid was not found to be

Jonathan P. How, Mary L. Cummings, Olivier Toupet, 2011 .

Chapter 8 – Perturbation Mitigation

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP

Jonathan P. How, Yoshiaki Kuwata, J. How, 2011, IEEE Transactions on Control Systems Technology.

Efficient Constellation-Based Map-Merging for Semantic SLAM

Jonathan P. How, Ted J. Steiner, Kristoffer M. Frey, 2018, 2019 International Conference on Robotics and Automation (ICRA).

A perception‐driven autonomous urban vehicle

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008, J. Field Robotics.

Control Systems for Assistive and Rehabilitation Robotics [About This Issue]

Jonathan P. How, 2018 .

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Jonathan P. How, Yu Fan Chen, Michael Everett, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Dynamic Tube MPC for Nonlinear Systems

Jonathan P. How, Jean-Jacques E. Slotine, Brett T. Lopez, 2019, 2019 American Control Conference (ACC).

Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control

Jonathan P. How, Justin Teo, J. How, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions

Jonathan P. How, Miao Liu, Christopher Amato, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Hierarchical Teaching Policies for Cooperative Agents

Jonathan P. How, Gerald Tesauro, Murray Campbell, 2020, AAMAS.

Analysis of Decentralized Estimation Filters for Formation Flying Spacecraft

Jonathan P. How, Louis S. Breger, Milan Mandic, 2004 .

Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties

Jonathan P. How, Emmanuel G. Collins, Wassim M. Haddad, 1996, IEEE Trans. Control. Syst. Technol..

Hybrid Model for Receding Horizon Guidance of Agile Autonomous Rotorcraft

Jonathan P. How, Bernard Mettler, Eric Feron, 2004 .

Input Shaping Design for Multi-Input Flexible Systems

Jonathan P. How, Sungyung Lim, Homer D. Stevens, 1999 .

“GPS On A Chip” - An Advanced GPS Receiver for Spacecraft

Jonathan P. How, Thomas K. Meehan, D. J. Spitzmesser, 1998 .

with Integrated Health Monitoring

Jonathan P. How, Mario J. Valenti, Brett Bethke, 2008 .

Threat-aware path planning in uncertain urban environments

Jonathan P. How, Daniel S. Levine, Georges Aoude, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Augmented dictionary learning for motion prediction

Jonathan P. How, Miao Liu, Yu Fan Chen, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models

Jonathan P. How, Girish Chowdhary, Thomas J. Walsh, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles

Sameera S. Ponda, Luke B. Johnson, Jonathan P. How, 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

Plume Avoidance Maneuver Planning Using Mixed Integer Linear Programming

Jonathan P. How, Eric Feron, Arthur Richards, 2001 .

Bayesian Nonparametric Adaptive Control Using Gaussian Processes

Jonathan P. How, Girish Chowdhary, Patricio A. Vela, 2015, IEEE Transactions on Neural Networks and Learning Systems.

EXPERIMENTAL DEMONSTRATION OF GPS AS A RELATIVE SENSOR FOR FORMATION FLYING SPACECRAFT

Jonathan P. How, John Carl Adams, Arash Hassibi, 1998 .

Crossmodal attentive skill learner: learning in Atari and beyond with audio–video inputs

Jonathan P. How, Jason Pazis, Shayegan Omidshafiei, 2020, Autonomous Agents and Multi-Agent Systems.

Multi-Agent Planning for Persistent Missions with Automated Battery Management

Alborz Geramifard, Jonathan P. How, N. Kemal Ure, 2011 .

Motion planning with diffusion maps

Jonathan P. How, Miao Liu, Yu Fan Chen, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Observers for Nonlinear Systems, Part 2 [About This Issue]

Jonathan P. How, 2017 .

Distributed learning for large-scale planning under uncertainty problems with heterogeneous teams

Jonathan P. How, Girish Chowdhary, Nazim Kemal Ure, 2013 .

Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model

Jonathan P. How, Golnaz Habibi, Nikita Jaipuria, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection pdf

Jonathan P. How, Jonathan Kelly, Yulun Tian, 2018, Robotics: Science and Systems.

Robustness, Certification, and Testing [About This Issue]

Jonathan P. How, 2016 .

Robust incremental SLAM with consistency-checking

Jonathan P. How, Donald E. Gustafson, Matthew C. Graham, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Decentralized risk sharing in teams of unmanned vehicles

Jonathan P. How, Aditya Undurti, 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

Value-of-information aware active task assignment

Jonathan P. How, Girish Chowdhary, Beipeng Mu, 2013 .

Decentralized Information-Rich Planning and Hybrid Sensor Fusion for Uncertainty Reduction in Human-Robot Missions

Sameera S. Ponda, Jonathan P. How, Nisar Ahmed, 2011 .

Planning under Uncertainty using Bayesian Nonparametric Models

Sameera S. Ponda, Jonathan P. How, Girish Chowdhary, 2012 .

Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints pdf

Jonathan P. How, Yulun Tian, Kasra Khosoussi, 2019, ArXiv.

Ensuring network connectivity for decentralized planning in dynamic environments

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2011 .

American Control Conference, USA

Jonathan P. How, Yoshiaki Kuwata, Tom Schouwenaars, 2005 .

Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles

Jonathan P. How, Eric Feron, Tom Schouwenaars, 2004, J. Aerosp. Comput. Inf. Commun..

The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2014, DARS.

Analysis and Control of a Variable-Pitch Quadrotor for Agile Flight

Jonathan P. How, Mark Cutler, J. How, 2015 .

Robust distributed model predictive control

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2007, Int. J. Control.

Estimation-based synthesis of H∞-optimal adaptive FIR filters for filtered-LMS problems

Jonathan P. How, Babak Hassibi, Bijan Sayyarrodsari, 2001, IEEE Trans. Signal Process..

The MIT–Cornell collision and why it happened

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008 .

Real-Time Experimental Demonstration of Precise Decentralized Relative Navigation for Formation Flying Spacecraft

Jonathan P. How, Franz Busse, J. How, 2002 .

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

Jonathan P. How, Brett Thomas Lopez, Jesus Tordesillas, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

An Automated Battery Management System to Enable Persistent Missions With Multiple Aerial Vehicles

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2015, IEEE/ASME Transactions on Mechatronics.

Agent Based Software for the Autonomous Control of Formation Flying Spacecraft

Jonathan P. How, Mark Campbell, Neil Dennehy, 2003 .

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association

Jonathan P. How, Parker C. Lusk, Kaveh Fathian, 2019, IEEE Transactions on Robotics.

Stable laser interest point selection for place recognition in a forest

Jonathan P. How, Golnaz Habibi, Matthew Giamou, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Decentralized task allocation with coupled constraints in complex missions

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2011, Proceedings of the 2011 American Control Conference.

Modeling Synergies in Large Human-Machine Networked Systems

Jonathan P. How, Raja Parasuraman, Mary L. Cummings, 2013 .

On Approximate Dynamic Inversion and Proportional-Integral control

Jonathan P. How, Eugene Lavretsky, Justin Teo, 2009, 2009 American Control Conference.

Orion: A Micro Satellite Testbed for Formation Flying

Jonathan P. How, Robert Twiggs, 1998 .

Integrating Automation with Humans

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

An online algorithm for constrained POMDPs

Jonathan P. How, Aditya Undurti, 2010, 2010 IEEE International Conference on Robotics and Automation.

Nonlinear Agile Control Test Bed for a Fixed Wing Aircraft in a Constrained Environment

Jonathan P. How, Frantisek Sobolic, 2009 .

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations

Jonathan P. How, Miao Liu, Christopher Amato, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Experimental Demonstration of Adaptive MDP-Based Planning with Model Uncertainty

Jonathan P. How, Luca F. Bertuccelli, Brett Bethke, 2008 .

Efficient distributed sensing using adaptive censoring based inference

Jonathan P. How, Girish Chowdhary, Beipeng Mu, 2013, 2013 American Control Conference.

Aggressive collision avoidance with limited field-of-view sensing

Jonathan P. How, Brett Thomas Lopez, B. Lopez, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Control Algorithms for Scientific Detectors [About This Issue]

Jonathan P. How, 2017 .

Robust adaptive control of linear systems with constant uncertain parameters

Jonathan P. How, B. Sayyarrodsari, A. Carrier, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models

Jonathan P. How, Wenjie Lu, Silvia Ferrari, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Information-rich Task Allocation and Motion Planning for Heterogeneous Sensor Platforms

Sameera S. Ponda, Jonathan P. How, Daniel S. Levine, 2011 .

Policy Distillation and Value Matching in Multiagent Reinforcement Learning

Jonathan P. How, Samir Wadhwania, Shayegan Omidshafiei, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Distributed coordination and control of formation flying spacecraft

Jonathan P. How, Louis S. Breger, Michael Tillerson, 2003, Proceedings of the 2003 American Control Conference, 2003..

Multi-Task Allocation and Path Planning for Cooperating UAVs

Jonathan P. How, Michael Tillerson, John Bellingham, 2003 .

UAV Task Assignment

Jonathan P. How, Mario J. Valenti, Brett Bethke, 2008, IEEE Robotics & Automation Magazine.

Control Systems Reproducibility Challenge [From the Editor]

Jonathan P. How, J. How, 2018, IEEE Control Systems.

UAV Task Assignment : An Experimental Demonstration with Integrated Health Monitoring

Jonathan P. How, Mario Valenti, Brett Bethke, 2008 .

Gaussian Processes for Learning and Control: A Tutorial with Examples

Jonathan P. How, Girish Chowdhary, Miao Liu, 2018, IEEE Control Systems.

Game Theory in Control [About This Issue]

Jonathan P. How, 2017 .

A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries pdf

Jonathan P. How, Golnaz Habibi, Nikita Jaipuria, 2018, ArXiv.

Learning covariance dynamics for path planning of UAV sensors in a large-scale dynamic environment

Han-Lim Choi, Jonathan P. How, Nicholas Roy, 2009 .

Collaborative Sensor Fusion and Management for Multiple UAVs

Jonathan P. How, Olivier Toupet, J. How, 2011 .

GPS Sensing for Spacecraft Formation Flying

Jonathan P. How, John Carl Adams, Arash Hassibi, 1997 .

Cooperative Mission Planning for Multi-UAV Teams

Alborz Geramifard, Sameera S. Ponda, Luke B. Johnson, 2015 .

Dynamic Output-Feedback Control Architectures Matter [Focus on Education]

Jonathan P. How, J. How, 2016 .

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models

Jonathan P. How, Wenjie Lu, Miao Liu, 2016, Autom..

Duckietown: An open, inexpensive and flexible platform for autonomy education and research

Jonathan P. How, Emilio Frazzoli, Javier Alonso-Mora, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Control Architecture Selection and Design for Cooperating UAVs

Jonathan P. How, 2004 .

Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators pdf

Jonathan P. How, Ted J. Steiner, Kristoffer M. Frey, 2019, ArXiv.

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM

Jonathan P. How, Ted J. Steiner, Kristoffer M. Frey, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

ADAPTIVE FEEDFORWARD CONTROL FOR ACTIVELY ISOLATED SPACECRAFT PLATFORMS

Jonathan P. How, Eric H. Anderson, 1997 .

Optimized Airborne Collision Avoidance

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation

Jonathan P. How, John J. Leonard, Liam Paull, 2015, Robotics: Science and Systems.

Robust simultaneous localization and mapping via information matrix estimation

Jonathan P. How, Matthew C. Graham, J. How, 2014, 2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014.

An unbiased Kalman consensus algorithm

Jonathan P. How, Mehdi Alighanbari, J. How, 2006, 2006 American Control Conference.

NEW FORMATION FLYING TESTBED FOR ANALYZING DISTRIBUTED ESTIMATION AND CONTROL ARCHITECTURES

Jonathan P. How, Philip Ferguson, Michael Tillerson, 2002 .

Control Education [From the Editor]

Jonathan P. How, 2019 .

Robust adaptive Markov Decision Processes in multi-vehicle applications

Jonathan P. How, Luca F. Bertuccelli, Brett Bethke, 2009, 2009 American Control Conference.

Active Sampling-based Binary Verification of Dynamical Systems pdf

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2017, ArXiv.

A Human-Interactive Course of Action Planner for Aircraft Carrier Deck Operations

Jonathan P. How, Bernard Michini, 2011 .

Importance-Weighted Adaptive Search for Multi-Class Targets

Alfred O. Hero, Jonathan P. How, Beipeng Mu, 2015, IEEE Transactions on Signal Processing.

Allowing non-submodular score functions in distributed task allocation

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Approximate dynamic programming using support vector regression

Jonathan P. How, Asuman E. Ozdaglar, Brett Bethke, 2008, 2008 47th IEEE Conference on Decision and Control.

Vehicular Control [About This Issue]

Jonathan P. How, 2015 .

Analysis of the impact of sensor noise on formation flying control

Jonathan P. How, Michael Tillerson, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments

Jonathan P. How, Miao Liu, Christopher Amato, 2016, AAAI.

Experimental Comparison of Robust H Control Techniques for Uncertain Structural Systems

Jonathan P. How, David W. Miller, Simon C. O. Grocott, 1997 .

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments

Jonathan P. How, Brett Thomas Lopez, John Carter, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Using Support Vector Machines and Bayesian Filtering for Classifying Agent Intentions at Road Intersections

Jonathan P. How, Georges S. Aoude, J. How, 2009 .

Hybrid Information and Plan Consensus in Distributed Task Allocation

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2013 .

Convergence analysis of the Hybrid Information and Plan Consensus Algorithm

Han-Lim Choi, Luke B. Johnson, Jonathan P. How, 2014, 2014 American Control Conference.

Region-of-convergence estimation for learning-based adaptive controllers

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2016, 2016 American Control Conference (ACC).

Indoor Multi-Vehicle Flight Testbed for Fault Detection, Isolation, and Recovery

Jonathan P. How, Eric Feron, Gaston Fiore, 2006 .

Improving the Efficiency of a Decentralized Tasking Algorithm for UAV Teams with Asynchronous Communications

Han-Lim Choi, Sameera S. Ponda, Luke B. Johnson, 2010 .

Why Do Experiments? [From the Editor]

Jonathan P. How, 2019 .

GPS as a structural deformation sensor

Jonathan P. How, Bradford W. Parkinson, E Teague, 1995 .

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments

Tara N. Sainath, Luke Fletcher, Jonathan P. How, 2010, 2010 IEEE International Conference on Robotics and Automation.

Autonomous UAV guidance build-up: Flight-test demonstration and evaluation plan

Jonathan P. How, Bernard Mettler, Yoshiaki Kuwata, 2003 .

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2014, 2014 American Control Conference.

Formation control strategies for a separated spacecraft interferometer

Jonathan P. How, Gokhan Inalhan, Andrew D. Robertson, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

The MIT - Cornell Collision and Why It Happened

Luke Fletcher, Jonathan P. How, Edwin Olson, 2009, The DARPA Urban Challenge.

Quasi-optimal Satellite Selection Algorithm for Real-time Applications1

Jonathan P. How, Chan-Woo Park, J. How, 2001 .

Socially aware motion planning with deep reinforcement learning

Jonathan P. How, Miao Liu, Yu Fan Chen, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Throughput Optimization in Mobile Backbone Networks

Eytan Modiano, Jonathan P. How, Emily M. Craparo, 2011, IEEE Transactions on Mobile Computing.

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning

Jonathan P. How, Arpan Kusari, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Analysis of Gradient Projection Anti-windup Scheme What the Simplest Feedback System Reveals

Jonathan P. How, Justin Teo, J. How, 2010 .

Probabilistic Surveillance Video Search

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Sampling-Based Threat Assessment Algorithms for Intersection Collisions Involving Errant Drivers

Jonathan P. How, Georges S. Aoude, Brandon D. Luders, 2010 .

On-Orbit Mass Property Estimation for the Space Shuttle Orbiter with Uncertain Thruster Outputs

Jonathan P. How, Erin Evans, Stephen Thrasher, 2018 .

Onboard Pseudolite Augmentation System for Relative Navigation

Jonathan P. How, Tobe’ Corazzini, 1999 .

Policy Search for Multi-Robot Coordination under Uncertainty

Jonathan P. How, Leslie Pack Kaelbling, George Konidaris, 2015, Robotics: Science and Systems.

Human-Autonomy Teaming [From the Editor]

Jonathan P. How, 2016 .

Decentralized learning-based planning for multiagent missions in the presence of actuator failures

Jonathan P. How, Girish Chowdhary, Mark Cutler, 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

ORION-II: A True Formation Flying Mission in LEO NASA-Goddard Award #NCC5-704 Final Report

Jonathan P. How, 2004 .

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2018, 2018 Annual American Control Conference (ACC).

Sensor Selection in High-Dimensional Gaussian Trees with Nuisances

Jonathan P. How, Daniel S. Levine, J. How, 2013, NIPS.

Decentralized Relative Navigation for Formation Flying Spacecraft using Augmented CDGPS 1

Jonathan P. How, Philip Ferguson, Chan-Woo Park, 2001 .

Region of attraction comparison for gradient projection anti-windup compensated systems

Jonathan P. How, Justin Teo, 2011, IEEE Conference on Decision and Control and European Control Conference.

Measurable Augmented Reality for Prototyping Cyberphysical Systems: A Robotics Platform to Aid the Hardware Prototyping and Performance Testing of Algorithms

Jonathan P. How, Rajeev J. Surati, Nazim Kemal Ure, 2016, IEEE Control Systems.

Thoughts on Mentoring the Research Process [From the Editor]

Jonathan P. How, 2019 .

Information-Theoretic Motion Planning for Constrained Sensor Networks

Jonathan P. How, Daniel S. Levine, Brandon Luders, 2013, J. Aerosp. Inf. Syst..

Distributed Robust Receding Horizon Control for Multivehicle Guidance

Jonathan P. How, Yoshiaki Kuwata, Arthur Richards, 2007, IEEE Transactions on Control Systems Technology.

Estimation of non-stationary Markov Chain transition models

Jonathan P. How, Luca F. Bertuccelli, J. How, 2008, 2008 47th IEEE Conference on Decision and Control.

Supplementary material for nonparameteric adaptive control of time varying systems using gaussian processes

Jonathan P. How, Girish Chowdhary, Patricio A. Vela, 2013 .

Search and Rescue Under the Forest Canopy Using Multiple UAS

Jonathan P. How, Nicholas Roy, Loc Tran, 2020, ISER.

Uncertainty model unfalsification with simulation

Jonathan P. How, R. L. Kosut, B. R. Woodley, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

SLAM with objects using a nonparametric pose graph

Jonathan P. How, John J. Leonard, Liam Paull, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

GPS estimation algorithms for precise velocity, slip and race-track position measurements

Jonathan P. How, Chan-Woo Park, Nicholas A. Pohlman, 2002 .

Reaching Consensus with Imprecise Probabilities Over a Network

Jonathan P. How, Luca F. Bertuccelli, Cameron S. R. Fraser, 2009 .

Parametric robust H2 control design using LMI synthesis

Jonathan P. How, David Banjerdpongchai, J. How, 1996 .

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games pdf

Jonathan P. How, Macheng Shen, 2019, ArXiv.

Design and flight testing of an autonomous variable-pitch quadrotor

Jonathan P. How, Joshua D. Redding, N. Kemal Ure, 2011, 2011 IEEE International Conference on Robotics and Automation.

Nonlinear System Identification and Estimation [About This Issue]

Jonathan P. How, 2016 .

Lightweight infrared sensing for relative navigation of quadrotors

Jonathan P. How, Mark Cutler, Bernard Michini, 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

Onboard GPS Signal Augmentation for Spacecraft Formation Flying

Jonathan P. How, Tobe’ Corazzini, 1998 .

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance pdf

Alfred O. Hero, Jonathan P. How, Beipeng Mu, 2014, ArXiv.

Special Issue on Artificial Pancreas Systems [About This Issue]

Jonathan P. How, J. How, 2018 .

Distributed Control and Estimation of Robotic Vehicle Networks, Part 2 [About This Issue]

Jonathan P. How, 2016 .

Learning the Covariance Dynamics of a Large-Scale Environment for Informative Path Planning of Unmanned Aerial Vehicle Sensors

Han-Lim Choi, Jonathan P. How, Nicholas Roy, 2010 .

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery

Alborz Geramifard, Jonathan P. How, Girish Chowdhary, 2012, ECML/PKDD.

Human-Autonomy Teaming Using Flexible Human Performance Models: An Initial Pilot Study

Jonathan P. How, Kimberly F. Jackson, Christopher J. Shannon, 2017 .

Implementation of Δv Commands

Jonathan P. How, Srinivas R. Vadali, Kyle T. Alfriend, 2010 .

Threat assessment design for driver assistance system at intersections

Jonathan P. How, Daniel S. Levine, Georges Aoude, 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

Orion-Emerald: carrier differential GPS for LEO formation flying

Jonathan P. How, James Simpson, Franz Busse, 2001, 2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542).

Referees [From the Editor]

Jonathan P. How, J. How, 2017 .

Estimation and Adaptive Control Algorithms [About This Issue]

Jonathan P. How, J. How, 2017 .

Robust Vision-Aided Navigation in Urban Environments

Jonathan P. How, Matthew C. Graham, Ted J. Steiner, 2013 .

Multiagent allocation of Markov decision process tasks

Luke B. Johnson, Jonathan P. How, Trevor Campbell, 2013, 2013 American Control Conference.

A hyperparameter consensus method for agreement under uncertainty

Han-Lim Choi, Jonathan P. How, Luca F. Bertuccelli, 2012, Autom..

The MIT–Cornell collision and why it happened

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008, J. Field Robotics.

Learning to Teach in Cooperative Multiagent Reinforcement Learning

Jonathan P. How, Gerald Tesauro, Miao Liu, 2018, AAAI.

RLPy: a value-function-based reinforcement learning framework for education and research

Alborz Geramifard, Jonathan P. How, Christoph Dann, 2015, J. Mach. Learn. Res..

Analytical performance prediction for robust constrained model predictive control

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2004 .

Partial J2 Invariance for Spacecraft Formations

Jonathan P. How, Kyle T. Alfriend, Louis S. Breger, 2006 .

Adaptive search for multi-class targets with heterogeneous importance

Alfred O. Hero, Jonathan P. How, Beipeng Mu, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Concurrent Learning Adaptive Model Predictive Control

Florian Holzapfel, Jonathan P. How, Girish Chowdhary, 2013 .

New Associate Editors for IEEE Control Systems Magazine [Publication Activities]

Jonathan P. How, J. How, 2015 .

Continuous motion planning for information forecast

Han-Lim Choi, Jonathan P. How, 2008, 2008 47th IEEE Conference on Decision and Control.

On-Orbit Closed-Loop Control Results for the Middeck Active Control Experiment

Jonathan P. How, David W. Miller, Mark Campbell, 1999 .

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation

Jonathan P. How, Girish Chowdhary, Robert C. Grande, 2013, 52nd IEEE Conference on Decision and Control.

The application of controlled structures technology to adaptive optics

Jonathan P. How, Eric H. Anderson, 1991 .

Spacecraft trajectory planning with avoidance constraints using mixed-integer linear programming

Jonathan P. How, Eric Feron, Arthur Richards, 2002 .

An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty

Jonathan P. How, Brandon Luders, J. How, 2014, 2014 American Control Conference.

A New Nonlinear Guidance Logic for Trajectory Tracking

Jonathan P. How, John Deyst, Sanghyuk Park, 2004 .

Streaming, Distributed Variational Inference for Bayesian Nonparametrics

Jonathan P. How, John W. Fisher, Trevor Campbell, 2015, NIPS.

Orion - A low-cost demonstration of formation flying in space using GPS

Jonathan P. How, Frank H. Bauer, Robert Twiggs, 1998 .

Online Discovery of Feature Dependencies

Alborz Geramifard, Jonathan P. How, Joshua D. Redding, 2011, ICML.

High-bandwidth control for low-area-density deformable mirrors

Jonathan P. How, Eric H. Anderson, David W. Miller, 1991, Defense, Security, and Sensing.

Comparison of Fixed and Variable Pitch Actuators for Agile Quadrotors

Jonathan P. How, N. K. Ure, Bernard Michini, 2011 .

Reliable Graphs for SLAM

Gaurav S. Sukhatme, Jonathan P. How, Gamini Dissanayake, 2019, Int. J. Robotics Res..

Linear Programming and Language Processing for Human-Unmanned Aerial-Vehicle Team Missions

Jonathan P. How, Eric Feron, Mario Valenti, 2006 .

3D Formation Flight Using Differential Carrier-Phase GPS Sensors

Jonathan P. How, Eric A. Olsen, Chan-Woo Park, 1999 .

A perception‐driven autonomous urban vehicle

Luke Fletcher, Jonathan P. How, Edwin Olson, 2008, J. Field Robotics.

Risk allocation strategies for distributed chance-constrained task allocation

Sameera S. Ponda, Luke B. Johnson, Jonathan P. How, 2013, 2013 American Control Conference.

Sensing technologies for formation-flying spacecraft in LEO using CDGPS and an interspacecraft communications system

Jonathan P. How, Larry Capots, Chan-Woo Park, 2000 .

Efficient distributed sensing using adaptive censoring based inference

Jonathan P. How, Girish Chowdhary, Beipeng Mu, 2013 .

HYBRID H2CONTROL DESIGN FOR VIBRATION ISOLATION

Jonathan P. How, T. E. Paré, 1999 .

Input command shaping techniques for robust, high-performance control of flexible structures

Jonathan P. How, Sungyung Lim, 1996 .

Demand estimation and chance-constrained fleet management for ride hailing

Jonathan P. How, Justin Miller, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

TOWARDS UNIFIED CONTROLLER SYNTHESIS FOR HYBRID SYSTEMS: STATE FEEDBACK OF SEQUENTIAL SYSTEMS

Jonathan P. How, Luis Rodrigues, 2004 .

Scalable, MDP-based planning for multiple, cooperating agents

Jonathan P. How, Joshua D. Redding, N. Kemal Ure, 2012, 2012 American Control Conference (ACC).

Differential Semimajor Axis Estimation Performance Using Carrier-Phase Differential Global Positioning System Measurements

Jonathan P. How, Kyle T. Alfriend, Russell Carpenter, 2007 .

Predictive positioning and quality of service ridesharing for campus mobility on demand systems

Jonathan P. How, Justin Miller, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Robust Object-based SLAM for High-speed Autonomous Navigation

Jonathan P. How, Nicholas Roy, Kyel Ok, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Multi-Vehicle Flight Experiments: Recent Results and Future Directions

Jonathan P. How, 2007 .

Decentralized control of partially observable Markov decision processes

Jonathan P. How, Mykel J. Kochenderfer, Christopher Amato, 2015, 52nd IEEE Conference on Decision and Control.

Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation

Jonathan P. How, Liam Paull, Beipeng Mu, 2017, IEEE Transactions on Robotics.

Modeling and H∞ control for switched linear parameter-varying missile autopilot

Jonathan P. How, Sungyung Lim, 2003, IEEE Trans. Control. Syst. Technol..

Rapid transfer of controllers between UAVs using learning-based adaptive control

Jonathan P. How, Girish Chowdhary, Mark Cutler, 2013, 2013 IEEE International Conference on Robotics and Automation.

A Situationally Aware Voice‐commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments

Luke Fletcher, Jonathan P. How, James R. Glass, 2015, J. Field Robotics.

Concurrent learning adaptive control in the presence of uncertain control allocation matrix

Jonathan P. How, Girish Chowdhary, Ben Reish, 2013 .

Bayesian nonparametric set construction for robust optimization

Jonathan P. How, Trevor Campbell, J. How, 2015, 2015 American Control Conference (ACC).

Machine Learning for Efficient Sampling-Based Algorithms in Robust Multi-Agent Planning Under Uncertainty

Jonathan P. How, John F. Quindlen, 2017 .

Robust motion planning using a maneuver automation with built-in uncertainties

Jonathan P. How, Eric Feron, Tom Schouwenaars, 2003, Proceedings of the 2003 American Control Conference, 2003..

Filter-Embedded UAV Task Assignment Algorithms for Dynamic Environments

Jonathan P. How, M. Alighanbari, Luca F. Bertuccelli, 2004 .

Actuator Constrained Trajectory Generation and Control for Variable-Pitch Quadrotors

Jonathan P. How, Mark Cutler, J. How, 2012 .

Control Architecture Design and Demonstration for Cooperative UAV's

Jonathan P. How, 2008 .

Robust control design and implementation on the Middeck Active Control Experiment

Jonathan P. How, David W. Miller, Douglas G. MacMartin, 1994 .

Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2003, Proceedings of the 2003 American Control Conference, 2003..

Adaptive Pressure Control for Variable-Thrust Rockets [About This Issue]

Jonathan P. How, 2018 .

Off-Road Vehicle Control [About This Issue]

Jonathan P. How, 2019 .

Decentralized path planning for multi-agent teams with complex constraints

Jonathan P. How, Vishnu R. Desaraju, Vishnu Desaraju, 2012, Autonomous Robots.

Advanced guidance algorithms for spacecraft formation-keeping

Jonathan P. How, Michael Tillerson, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Predictive Planning for Heterogeneous Human-Robot Teams

Han-Lim Choi, Sameera S. Ponda, Jonathan P. How, 2010 .

Cyberphysical Security in Networked Control Systems [About This Issue]

Jonathan P. How, J. How, 2015 .

A comparison of robust control techniques for uncertain structural systems

Jonathan P. How, David W. Miller, Simon C. O. Grocott, 1994 .

Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm

Jonathan P. How, Mary L. Cummings, Andrew S. Clare, 2012, J. Aerosp. Comput. Inf. Commun..

Dynamic arrival rate estimation for campus Mobility On Demand network graphs

Jonathan P. How, Shih-Yuan Liu, Justin Miller, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Transferable Pedestrian Motion Prediction Models at Intersections

Jonathan P. How, Macheng Shen, Golnaz Habibi, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Behavior classification algorithms at intersections and validation using naturalistic data

Jonathan P. How, Vishnu R. Desaraju, Georges Aoude, 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

Policy search for multi-robot coordination under uncertainty

Jonathan P. How, Leslie Pack Kaelbling, George Konidaris, 2015, Int. J. Robotics Res..

Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming

Jonathan P. How, Matthew A. Vavrina, John Vian, 2011, Proceedings of the 2011 American Control Conference.

Subspace based direct adaptive ℋ︁∞ control

Jonathan P. How, Robert L. Kosut, Bruce R. Woodley, 2001 .

Multi-Vehicle Flight Testbed for Extended Mission Analysis, Fault Isolation, and Recovery

Jonathan P. How, Mario Valenti, 2007 .

Batch-iFDD for Representation Expansion in Large MDPs pdf

Alborz Geramifard, Jonathan P. How, Thomas J. Walsh, 2013, UAI.

Signal architecture for a Distributed Magnetic Local Positioning System

Jonathan P. How, E. Prigge, J. How, 2002, Proceedings of IEEE Sensors.

Planning for decentralized control of multiple robots under uncertainty

Jonathan P. How, Leslie Pack Kaelbling, George Konidaris, 2014, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Control of Spreading Processes [About This Issue]

Jonathan P. How, 2016 .

Space construction: an experimental testbed to develop enabling technologies

Jonathan P. How, Heidi C. Schubert, 1997, Other Conferences.

Simultaneous placement and assignment for exploration in mobile backbone networks

Eytan Modiano, Jonathan P. How, Emily M. Craparo, 2008, 2008 47th IEEE Conference on Decision and Control.

Continual Learning of Pedestrian Motion Behaviors using Motion Primitives

Jonathan P. How, Golnaz Habibi, Nikita Jaipuria, 2018 .

Flight Testing a Heterogeneous Multi-UAV System with Human Supervision

Andrew Kopeikin, Jonathan P. How, Mary L. Cummings, 2012 .

Automated Battery Swap and Recharge to Enable Persistent UAV Missions

Jonathan P. How, Joshua D. Redding, Matthew A. Vavrina, 2011 .

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends pdf

Jonathan P. How, Kasra Khosoussi, Matthew Giamou, 2017, ArXiv.

The Limitations of Independent Controller Design for a Multiple-link Flexible Macro-manipulator Carrying a Rigid Mini-manipulator

Jonathan P. How, H. D. Stevens, 1996 .

Value-of-information aware active task assignment

Jonathan P. How, Girish Chowdhary, Beipeng Mu, 2013, Defense, Security, and Sensing.

On the roles of smoothing in planning of informative paths

Han-Lim Choi, Jonathan P. How, 2009, 2009 American Control Conference.

A decentralized approach to multi-agent planning in the presence of constraints and uncertainty

Jonathan P. How, Aditya Undurti, J. How, 2011, 2011 IEEE International Conference on Robotics and Automation.

CARRIER DIFFERENTIAL GPS FOR REAL-TIME CONTROL OF LARGE FLEXIBLE STRUCTURES.

Jonathan P. How, Bradford W. Parkinson, E. Harrison Teague, 1996 .

L 1 Adaptive Control for Indoor Autonomous Vehicles: Design Process and Flight Testing

Jonathan P. How, Buddy Michini, J. How, 2009 .

CLIPPER: A Graph-Theoretic Framework for Robust Data Association pdf

Jonathan P. How, Kaveh Fathian, Parker C. Lusk, 2020, ArXiv.

Automatic Pan–Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets

Jonathan P. How, Miao Liu, Silvia Ferrari, 2019, IEEE Transactions on Automatic Control.

Control Applications [About This Issue]

Jonathan P. How, 2016 .

MAR-CPS: Measurable Augmented Reality for Prototyping Cyber-Physical Systems

Jonathan P. How, Ali-akbar Agha-mohammadi, Nazim Kemal Ure, 2015 .

Robust Trajectory Planning for Autonomous Parafoils under Wind Uncertainty

Jonathan P. How, Brandon D. Luders, Ian Sugel, 2013 .

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees

Jonathan P. How, Yulun Tian, Kasra Khosoussi, 2018, WAFR.

Finite element model and identification procedure

Jonathan P. How, Eric H. Anderson, Etienne Balmes, 1992 .

Implementation of robust decentralized model predictive control

Jonathan P. How, Arthur Richards, Arthur G. Richards, 2005 .

Hybrid architecture for full-envelope autonomous rotorcraft guidance

Jonathan P. How, Bernard Mettler, Eric Feron, 2003 .

Bayesian nonparameteric model reference adaptive control using Gaussian processes

Jonathan P. How, Girish Chowdhary, Patricio A. Vela, 2013 .

Social Control [About This Issue]

Jonathan P. How, J. How, 2015 .

New Magazine Technical Associate Editors [Publication Activities]

Jonathan P. How, 2017 .

Flight Results from the Middeck Active Control Experiment (MACE)

Jonathan P. How, Roger M. Glaese, David W. Miller, 1998 .

Robust Sampling-based Motion Planning with Asymptotic Optimality Guarantees

Jonathan P. How, Sertac Karaman, Brandon D. Luders, 2013 .

Algorithms for reduced order robust H/sub /spl infin// control design

Jonathan P. How, T. E. Pare, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems

Jonathan P. How, Christopher Amato, Trong Nghia Hoang, 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Duckietown: An Innovative Way to Teach Autonomy

Jonathan P. How, John J. Leonard, Maria T. Zuber, 2016, EDUROBOTICS.

Stick-Breaking Policy Learning in Dec-POMDPs

Jonathan P. How, Lawrence Carin, Miao Liu, 2015, IJCAI.

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models

Jonathan P. How, Daniel S. Levine, J. How, 2014, UAI.

Health-Aware Multi-UAV Planning using Decentralized Partially Observable Semi-Markov Decision Processes

Jonathan P. How, Christopher Amato, Ali-akbar Agha-mohammadi, 2016 .

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems pdf

Ufuk Topcu, Jonathan P. How, Girish Chowdhary, 2017, ArXiv.

Observers for Nonlinear Systems, Part 1 [About This Issue]

Jonathan P. How, 2017 .

Control of Teams [About This Issue]

Jonathan P. How, 2015 .

Approximate Decentralized Bayesian Inference

Jonathan P. How, Trevor Campbell, J. How, 2014, UAI.

Lyapunov Stability of a Nonlinear Guidance Law for UAVs

Jonathan P. How, John Deyst, Sanghyuk Park, 2005 .

Reinforcement learning with multi-fidelity simulators

Jonathan P. How, Thomas J. Walsh, Mark Cutler, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Cooperative Vision Based Estimation and Tracking Using Multiple UAVs

Jonathan P. How, Mario J. Valenti, Brett Bethke, 2007 .

Active Learning in Persistent Surveillance UAV Missions

Jonathan P. How, Joshua D. Redding, Luca F. Bertuccelli, 2009 .

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture

Jonathan P. How, Lawrence Carin, Trevor Campbell, 2013, NIPS.

Implementation issues in the control of a flexible mirror testbed

Jonathan P. How, Eric H. Anderson, J. How, 1991, Optics & Photonics.

Cooperative path planning for multiple UAVs in dynamic and uncertain environments

Jonathan P. How, M. Alighanbari, Michael Tillerson, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Chapter 10 – Formation Control

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

Decoupled multiagent path planning via incremental sequential convex programming

Jonathan P. How, Yu Fan Chen, Mark Cutler, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Crossmodal Attentive Skill Learner pdf

Jonathan P. How, Jason Pazis, Shayegan Omidshafiei, 2017, AAMAS.

UAV cooperative control with stochastic risk models

Alborz Geramifard, Jonathan P. How, Joshua D. Redding, 2011, Proceedings of the 2011 American Control Conference.

Hover, Transition, and Level Flight Control Design for a Single-Propeller Indoor Airplane

Jonathan P. How, Mario J. Valenti, James S. McGrew, 2007 .

Mission Health Management for 24/7 Persistent Surveillance Operations

Jonathan P. How, Boeing Phantom, John Vian, 2007 .

Bayesian Nonparametric Reward Learning From Demonstration

Jonathan P. How, Thomas J. Walsh, Ali-akbar Agha-mohammadi, 2015, IEEE Transactions on Robotics.

Proceedings of Conference on Co-operative Control and Optimization

Jonathan P. How, Arthur Richards, Michael Tillerson, 2001 .

Deep Decentralized Multi-task Multi-Agent RL under Partial Observability

Jonathan P. How, Christopher Amato, John Vian, 2017 .

Randomized Coordination Search for Scalable Multiagent Planning

Jonathan P. How, N. Kemal Ure, John Vian, 2015, AAMAS.

Control Theory for Synthetic Biology [About This Issue]

Jonathan P. How, 2018 .

Low-frequency active vibration isolation for advanced LIGO

Jonathan P. How, Daniel B. DeBra, Giles D. Hammond, 2004, SPIE Astronomical Telescopes + Instrumentation.

Efficient distributed information fusion using value of information based censoring

Jonathan P. How, Girish Chowdhary, Beipeng Mu, 2012 .

Modeling and Planning with Macro-Actions in Decentralized POMDPs

Jonathan P. How, Leslie Pack Kaelbling, George Konidaris, 2019, J. Artif. Intell. Res..

Coordination and control of multiple UAVs with timing constraints and loitering

Jonathan P. How, Yoshiaki Kuwata, M. Alighanbari, 2003, Proceedings of the 2003 American Control Conference, 2003..

Planning under Uncertainty using Nonparametric Bayesian Models

Sameera S. Ponda, Jonathan P. How, Girish Chowdhary, 2012 .

Probabilistic Planning for Decentralized Multi-Robot Systems

Jonathan P. How, Leslie Pack Kaelbling, George Konidaris, 2015, AAAI Fall Symposia.

Local Design Methodologies for a Hierarchic Control Architecture

Jonathan P. How, Edward F. Crawley, Steven R. Hall, 1990 .

Concurrent Learning Adaptive Control of the Aeroelastic Generic Transport Model

Jonathan P. How, Nhan Nguyen, Girish Chowdhary, 2013 .

Quickest change detection approach to optimal control in Markov decision processes with model changes

Jonathan P. How, Taposh Banerjee, Miao Liu, 2016, 2017 American Control Conference (ACC).

Aggressive 3-D collision avoidance for high-speed navigation

Jonathan P. How, Brett Thomas Lopez, B. Lopez, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis

Jonathan P. How, Wassim M. Haddad, Steven R. Hall, 1993, IEEE Trans. Control. Syst. Technol..

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments pdf

Jonathan P. How, Javier Alonso-Mora, Michael Everett, 2021, IEEE Robotics and Automation Letters.

Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems pdf

Jonathan P. How, Luca Carlone, Carlos Nieto-Granda, 2021, IEEE Transactions on Robotics.

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning

Jonathan P. How, Gerald Tesauro, Miao Liu, 2021, ICML.

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows pdf

Jonathan P. How, John J. Leonard, Kasra Khosoussi, 2021, ArXiv.

CLIPPER: A Graph-Theoretic Framework for Robust Data Association

Jonathan P. How, Parker C. Lusk, Kaveh Fathian, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors

Jonathan P. How, Andrea Tagliabue, J. How, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Reachability Analysis of Neural Feedback Loops pdf

Jonathan P. How, Chuangchuang Sun, Golnaz Habibi, 2021, IEEE Access.

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments

Jonathan P. How, Javier Alonso-Mora, Michael Everett, 2021, IEEE Robotics and Automation Letters.

PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments pdf

Jonathan P. How, Jesus Tordesillas, 2021, ArXiv.

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation pdf

Jonathan P. How, Chuangchuang Sun, Dong-Ki Kim, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking

Jonathan P. How, Zachary I. Bell, Warren E. Dixon, 2021, 2021 American Control Conference (ACC).

Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion

Jonathan P. How, Golnaz Habibi, J. How, 2021, IEEE Robotics and Automation Letters.

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers

Jonathan P. How, Michael Everett, Golnaz Habibi, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows

Jonathan P. How, John J. Leonard, Qiangqiang Huang, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC pdf

Jonathan P. How, Andrea Tagliabue, Dong-Ki Kim, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems

Jonathan P. How, Golnaz Habibi, Michael Everett, 2021, 2021 American Control Conference (ACC).

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

Jonathan P. How, Michael Everett, Yu Fan Chen, 2019, IEEE Access.

FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments

Jonathan P. How, Brett T. Lopez, Jesus Tordesillas, 2020, IEEE Transactions on Robotics.

Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations

Jonathan P. How, Kaveh Fathian, Yogesh A. Girdhar, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems

Jonathan P. How, Michael Everett, Golnaz Habibi, 2021, IEEE Control Systems Letters.

MIXER: A Principled Framework for Multimodal, Multiway Data Association

Jonathan P. How, Parker C. Lusk, Kaveh Fathian, 2021, ArXiv.

Airborne Sensing for Ship Air Wake Surveys with a Tethered Autonomous UAV

Jonathan P. How, Andrew J. Torgesen, Benjamin Cameron, 2020, AIAA Scitech 2021 Forum.

Autonomous MAV Landing on a Moving Platform with Estimation of Unknown Turbulent Wind Conditions

Jonathan P. How, Aleix Paris, Andrea Tagliabue, 2020, AIAA Scitech 2021 Forum.

Context-Specific Representation Abstraction for Deep Option Learning pdf

Jonathan P. How, Gerald Tesauro, Miao Liu, 2021, ArXiv.

Convergence analysis of a parametric robust H/sub 2/ controller synthesis algorithm

Jonathan P. How, David Banjerdpongchai, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Analysis of linear parameter‐varying systems using a non‐smooth dissipative systems framework

Jonathan P. How, Sungyung Lim, J. How, 2002 .

Synthesis of piecewise-affine controllers for stabilization of nonlinear systems

Jonathan P. How, Luis Rodrigues, J. How, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

The Basics of Analytical Mechanics, Optimization, Control and Estimation

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

Chapter 2 – Fundamental Astrodynamics

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

Cooperative Decision Making

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

GVE-Based Dynamics and Control for Formation Flying Spacecraft

Jonathan P. How, Louis S. Breger, J. How, 2004 .

RECONFIGURATION MANEUVER EXPERIMENTS USING THE SPHERES TESTBED ONBOARD THE ISS

Jonathan P. How, David W. Miller, Georges S. Aoude, 2008 .

Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties

Jonathan P. How, Emmanuel G. Collins, Wassim M. Haddad, 1995 .

AAS 00-109 PRECISE FORMATION FLYING CONTROL OF MULTIPLE SPACECRAFT USING CARRIER-PHASE DIFFERENTIAL GPS 1

Jonathan P. How, Gokhan Inalhan, Franz D. Busse, 2000 .

Extensions of mixed-µ bounds to monotonic and odd monotonic nonlinearities using absolute stability theory†

Dennis S. Bernstein, Jonathan P. How, Wassim M. Haddad, 1994 .

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments

Jonathan P. How, Luca Carlone, Xiaoyi Cai, 2021, ISER.

Nonlinear Models of Relative Dynamics

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

Formation flying experiments on the Orion-Emerald mission

Jonathan P. How, Arthur Richards, Philip Ferguson, 2001 .

The Orion Project - A space formation flying experiment

Jonathan P. How, Robert Twiggs, Brian Engberg, 1999 .

Technical Surprises [From the Editor]

Jonathan P. How, J. How, 2016 .

Output feedback controller synthesis for piecewise-affine systems with multiple equilibria

Jonathan P. How, Luis Rodrigues, Arash Hassibi, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Parametric Robust H Control Design Using Iterative Linear Matrix Inequalities Synthesis

Jonathan P. How, David Banjerdpongchai, 2000 .

Control of LPV systems using a quasi-piecewise affine parameter-dependent Lyapunov function

Jonathan P. How, Sungyung Lim, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Gradient Projection Anti-windup Scheme on Constrained Planar LTI Systems

Jonathan P. How, Justin Teo, J. How, 2010 .

Probabilistic Feasibility for Nonlinear Systems with Non-Gaussian Uncertainty using RRT

Jonathan P. How, Brandon D. Luders, J. How, 2011 .

Parametric robust H/sub /spl infin// controller synthesis: comparison and convergence analysis

Jonathan P. How, David Banjerdpongchai, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

COMPARATIVE ANALYSIS OF CARTESIAN AND CURVILINEAR CLOHESSY-WILTSHIRE EQUATIONS

Jonathan P. How, J. How, E. Gill, 2011 .

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing

Jonathan P. How, Sarah Bergbreiter, Aleix Paris, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Automated control design for a piecewise-affine approximation of a class of nonlinear systems

Jonathan P. How, Luis Rodrigues, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Receding Horizon Control of Autonomous Aerial Vehicles 1

Jonathan P. How, Arthur Richards, John Bellingham, 2002 .

Multiagent Planning for Persistent Surveillance

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Parametric robust H 2 control design with generalized multipliers via LMI synthesis

Jonathan P. How, David Banjerdpongchai, J. How, 1998 .

Enabling Spacecraft Formation Flying in Any Earth Orbit Through Spaceborne GPS and Enhanced Autonomy Technologies

Jonathan P. How, James L. Garrison, Frank H. Bauer, 2000 .

Formation Flying Control in Eccentric Orbits

Jonathan P. How, Michael Tillerson, J. How, 2001 .

Wind Uncertainty Modeling and Robust Trajectory Planning for Autonomous Parafoils

Jonathan P. How, Brandon D. Luders, Ian Sugel, 2016 .

An H/sub /spl infin//-optimal alternative to the FxLMS algorithm

Jonathan P. How, Babak Hassibi, B. Sayyarrodsari, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

A KYP lemma and invariance principle for systems with multiple hysteresis non-linearities

Jonathan P. How, Arash Hassibi, A. Hassibi, 2001 .

Verification procedure for on-orbit controllers for the MIT Middeck Active Control Experiment

Jonathan P. How, Edward F. Crawley, David W. Miller, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Analysis of LPV systems using a piecewise affine parameter-dependent Lyapunov function

Jonathan P. How, Sungyung Lim, J. How, 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

Robust Control Synthesis Examples with Real Parameter Uncertainty using the Popov Criterion

Jonathan P. How, Wassim M. Haddad, Steven R. Hall, 1993, 1993 American Control Conference.

Seismic isolation for Advanced LIGO

Jonathan P. How, Robin T. Stebbins, David P. Shoemaker, 2002 .

Linear Equations of Relative Motion

Jonathan P. How, Pini Gurfil, Srinivas R. Vadali, 2010 .

An H_∞-optimal alternative to the FxLMS algorithm

Jonathan P. How, Babak Hassibi, B. Sayyarrodsari, 1998 .

Toward unified analysis and controller synthesis for a class of hybrid systems

Jonathan P. How, Luis Rodrigues, J. How, 2006 .

Asymptotic stability for systems with multiple hysteresis nonlinearities

Jonathan P. How, Arash Hassibi, T. E. Pare, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).