Stephen L. Smith

发表

Stabilizing a Multi-Agent System to an Equilateral Polygon Formation

B. Francis, M. Broucke, Stephen L. Smith, 2006 .

Optimal Control of Markov Decision Processes with Temporal Logic Constraints

C. Belta, D. Rus, Stephen L. Smith, 2012 .

A Geometric Assignment Problem for Robotic Networks

F. Bullo, Stephen L. Smith, 2007 .

Distributed Submodular Maximization with Limited Information Bahman Gharesifard

Stephen L. Smith, 2017 .

Submodularity andGreedyAlgorithms inSensor Scheduling forLinearDynamical Systems 1

Syed Talha Jawaid, Stephen L. Smith, 2015 .

Data-Driven Model Predictive Control for Linear Time-Periodic Systems

Stephen L. Smith, J. Simpson-Porco, Rui Li, 2022, IEEE Conference on Decision and Control.

A hierarchical cyclic pursuit scheme for vehicle networks

Mireille E. Broucke, Bruce A. Francis, Stephen L. Smith, 2005, Autom..

Dynamic Vehicle Routing for Robotic Systems Planning optimal routes for multiple vehicles performing different tasks is discussed; fundamental limits on achievable performance are established for tasks that are generated by exogenous processes.

Emilio Frazzoli, Marco Pavone, Francesco Bullo, 2011 .

Informative Path Planning in Random Fields via Mixed Integer Programming

Stephen L. Smith, Shamak Dutta, Nils Wilde, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

High-Dimensional Lattice Planning with Optimal Motion Primitives

Stephen L. Smith, A. Botros, 2021, 2107.11467.

Optimal Partitioning of Non-Convex Environments for Minimum Turn Coverage Planning

B. Fidan, Stephen L. Smith, Megnath Ramesh, 2021, ArXiv.

Min-Max Latency Walks: Approximation Algorithms for Monitoring Vertex-Weighted Graphs

Stephen L. Smith, Elaheh Fata, Soroush Alamdari, 2012, WAFR.

Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions

K. Rezaee, P. Yadmellat, Stephen L. Smith, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Data-Driven Model Predictive Control for Linear Time-Periodic Systems

Stephen L. Smith, J. Simpson-Porco, Rui Li, 2022, ArXiv.

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy

Stephen L. Smith, Pratap Tokekar, Shamak Dutta, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

MIT Open Access Articles Optimal path planning under temporal logic constraints

C. Belta, D. Rus, Stephen L. Smith, 2022 .

Data-Driven Learning of Safety-Critical Control with Stochastic Control Barrier Functions

Jun Liu, Stephen L. Smith, Chuanzhen Wang, 2022, 2205.11513.

A Programming Approach for Worst-case Studies in Distributed Submodular Maximization

B. Gharesifard, Stephen L. Smith, Andrew Downie, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Optimistic Greedy Strategies for Partially Known Submodular Functions

B. Gharesifard, Stephen L. Smith, Andrew Downie, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment pdf

Stephen L. Smith, Ryan A. MacDonald, Armin Sadeghi, 2020, IEEE Transactions on Robotics.

Learning Motion Planning Policies in Uncertain Environments through Repeated Task Executions

Stephen L. Smith, Ryan A. MacDonald, Florence Tsang, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Active sensing for motion planning in uncertain environments via mutual information policies

Stephen L. Smith, Ryan A. MacDonald, Stephen L. Smith, 2019, Int. J. Robotics Res..

A Survey of Multi-Agent Human-Robot Interaction Systems

K. Dautenhahn, Stephen L. Smith, A. M. Aroyo, 2022, Robotics Auton. Syst..

Dynamic Vehicle Routing with Priority Classes of Stochastic Demands

Emilio Frazzoli, Marco Pavone, Francesco Bullo, 2009, SIAM J. Control. Optim..

Dynamic vehicle routing with moving demands - Part II: High speed demands or low arrival rates

Joao P. Hespanha, Francesco Bullo, Stephen L. Smith, 2009, 2009 American Control Conference.

Dynamic multi-vehicle routing with multiple classes of demands

Emilio Frazzoli, Marco Pavone, Francesco Bullo, 2009, 2009 American Control Conference.

Dynamic vehicle routing with heterogeneous demands

Emilio Frazzoli, Marco Pavone, Francesco Bullo, 2008, 2008 47th IEEE Conference on Decision and Control.

Curve Shortening and the Rendezvous Problem for Mobile Autonomous Robots

Mireille E. Broucke, Bruce A. Francis, Stephen L. Smith, 2006, IEEE Transactions on Automatic Control.

Optimality and Robustness in Multi-Robot Path Planning with Temporal Logic Constraints

Calin Belta, Daniela Rus, Stephen L. Smith, 2013, Int. J. Robotics Res..

Multirobot Rendezvous Planning for Recharging in Persistent Tasks

Steven Lake Waslander, Stephen L. Smith, Steven L. Waslander, 2015, IEEE Transactions on Robotics.

Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems

Emilio Frazzoli, Marco Pavone, Mac Schwager, 2013, 2013 American Control Conference.

Robotic load balancing for mobility-on-demand systems

Emilio Frazzoli, Marco Pavone, Daniela Rus, 2012, Int. J. Robotics Res..

Universally Safe Swerve Maneuvers for Autonomous Driving pdf

Krzysztof Czarnecki, Stephen L. Smith, Ryan De Iaco, 2020, IEEE Open Journal of Intelligent Transportation Systems.

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

Gaurav S. Sukhatme, Ryan N. Smith, Mac Schwager, 2011, J. Field Robotics.

Improving user specifications for robot behavior through active preference learning: Framework and evaluation

Dana Kulic, Stephen L. Smith, Alexandru Blidaru, 2019, Int. J. Robotics Res..

Tunable Trajectory Planner Using G3 Curves pdf

Alexander Botros, Stephen L. Smith, Stephen L. Smith, 2021, IEEE Transactions on Intelligent Vehicles.

Clustering in discrete path planning for approximating minimum length paths

Stephen L. Smith, Frank Imeson, Stephen L. Smith, 2017, 2017 American Control Conference (ACC).

Target assignment for robotic networks: Asymptotic performance under limited communication

Francesco Bullo, Stephen L. Smith, F. Bullo, 2007, 2007 American Control Conference.

Persistent monitoring in discrete environments: Minimizing the maximum weighted latency between observations

Elaheh Fata, Stephen L. Smith, Soroush Alamdari, 2012, Int. J. Robotics Res..

The dynamic team forming problem: Throughput and delay for unbiased policies

Francesco Bullo, Stephen L. Smith, F. Bullo, 2009, Syst. Control. Lett..

Dynamic multi-agent team forming: Asymptotic results on throughput versus delay

F. Bullo, S.L. Smith, F. Bullo, 2008, 2008 American Control Conference.

A complete greedy algorithm for infinite-horizon sensor scheduling

Stephen L. Smith, Syed Talha Jawaid, Ahmad Bilal Asghar, 2017, Autom..

On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks

Stephen L. Smith, Armin Sadeghi, Stephen L. Smith, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

GLNS: An effective large neighborhood search heuristic for the Generalized Traveling Salesman Problem

Stephen L. Smith, Frank Imeson, Stephen L. Smith, 2017, Comput. Oper. Res..

Optimal Path Planning in Cooperative Heterogeneous Multi-robot Delivery Systems

Steven Lake Waslander, Stephen L. Smith, Steven L. Waslander, 2014, WAFR.

On Dynamic Vehicle Routing With Time Constraints

Francesco Bullo, Stephen L. Smith, Shaunak Dattaprasad Bopardikar, 2014, IEEE Transactions on Robotics.

A dynamic boundary guarding problem with translating targets

Francesco Bullo, Stephen L. Smith, Shaunak Dattaprasad Bopardikar, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Reactive Motion Planning in Uncertain Environments via Mutual Information Policies

Stephen L. Smith, Ryan A. MacDonald, Stephen L. Smith, 2016, WAFR.

Active Preference Learning using Maximum Regret

D. Kulić, Stephen L. Smith, Nils Wilde, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Safety-Critical Control of Stochastic Systems using Stochastic Control Barrier Functions pdf

Jun Liu, Stephen L. Smith, Chuanzheng Wang, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Persistent monitoring of changing environments using a robot with limited range sensing

Mac Schwager, Daniela Rus, Stephen L. Smith, 2011, 2011 IEEE International Conference on Robotics and Automation.

Persistent Robotic Tasks: Monitoring and Sweeping in Changing Environments

Mac Schwager, Daniela Rus, Stephen L. Smith, 2011, IEEE Transactions on Robotics.

Robust multi-robot optimal path planning with temporal logic constraints

Calin Belta, Stephen L. Smith, Xu Chu Ding, 2012, 2012 IEEE International Conference on Robotics and Automation.

Optimal path planning for surveillance with temporal-logic constraints*

Calin Belta, Daniela Rus, Stephen L. Smith, 2011, Int. J. Robotics Res..

Optimal multi-robot path planning with temporal logic constraints

Calin Belta, Daniela Rus, Stephen L. Smith, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Optimal path planning under temporal logic constraints

Calin Belta, Daniela Rus, Stephen L. Smith, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Curve Shortening and its Application to Multi-Agent Systems

B. Francis, M. Broucke, Stephen L. Smith, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Load Balancing for Mobility-on-Demand Systems

Emilio Frazzoli, Marco Pavone, Daniela Rus, 2011, Robotics: Science and Systems.

Planning Paths for Package Delivery in Heterogeneous Multirobot Teams

Steven Lake Waslander, Stephen L. Smith, Steven L. Waslander, 2015, IEEE Transactions on Automation Science and Engineering.

On distributed submodular maximization with limited information

Bahman Gharesifard, Stephen L. Smith, B. Gharesifard, 2016, 2016 American Control Conference (ACC).

Monotonic Target Assignment for Robotic Networks

Francesco Bullo, Stephen L. Smith, F. Bullo, 2009, IEEE Transactions on Automatic Control.

Dynamic Vehicle Routing for Robotic Systems

Emilio Frazzoli, Marco Pavone, Francesco Bullo, 2011, Proceedings of the IEEE.

Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit Approach pdf

Aditya Mahajan, Abhinav Dahiya, Nima Akbarzadeh, 2021, IEEE Transactions on Control of Network Systems.

Heterogeneous Task Allocation and Sequencing via Decentralized Large Neighborhood Search

Stephen L. Smith, Armin Sadeghi, Stephen L. Smith, 2017, Unmanned Syst..

Target assignment for robotic networks: Worst-case and stochastic performance in dense environments

Francesco Bullo, Stephen L. Smith, F. Bullo, 2007, 2007 46th IEEE Conference on Decision and Control.

A nonlinear switched observer with projected state estimates for diesel engine emissions reduction

Stephen L. Smith, Philip James McCarthy, Christopher Nielsen, 2013, 2013 American Control Conference.

A graph-based approach to multi-robot rendezvous for recharging in persistent tasks

Steven Lake Waslander, Stephen L. Smith, Steven L. Waslander, 2013, 2013 IEEE International Conference on Robotics and Automation.

Optimal Control of Markov Decision Processes With Linear Temporal Logic Constraints

Calin Belta, Daniela Rus, Stephen L. Smith, 2014, IEEE Transactions on Automatic Control.

Optimizing Task Waiting Times in Dynamic Vehicle Routing

Javier Alonso-Mora, Stephen L. Smith, Nils Wilde, 2023, IEEE Robotics and Automation Letters.

Submodularity and greedy algorithms in sensor scheduling for linear dynamical systems

Stephen L. Smith, Syed Talha Jawaid, Stephen L. Smith, 2015, Autom..

Cardinality constrained robust optimization applied to a class of interval observers

Stephen L. Smith, Philip James McCarthy, Christopher Nielsen, 2014, 2014 American Control Conference.

Dynamic Vehicle Routing for Translating Demands: Stability Analysis and Receding-Horizon Policies

João Pedro Hespanha, Francesco Bullo, Stephen L. Smith, 2010, IEEE Transactions on Automatic Control.

LTL Control in Uncertain Environments with Probabilistic Satisfaction Guarantees pdf

Calin Belta, Daniela Rus, Stephen L. Smith, 2011, ArXiv.

Continuous Motion Planning with Temporal Logic Specifications using Deep Neural Networks

Stephen L. Smith, Jun Liu, Chuanzhen Wang, 2020, ArXiv.

Distributed Submodular Maximization With Limited Information

Bahman Gharesifard, Stephen L. Smith, B. Gharesifard, 2017, IEEE Transactions on Control of Network Systems.

Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle

Stephen L. Smith, Barry Gilhuly, Stephen L. Smith, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Aerial Coverage Planning for Areas Hidden from the View of a Moving Ground Vehicle

Stephen L. Smith, Barry Gilhuly, Stephen L. Smith, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians

Daniela Rus, Stephen L. Smith, Brian J. Julian, 2012, Robotics: Science and Systems.

MDP optimal control under temporal logic constraints

Calin Belta, Daniela Rus, Stephen L. Smith, 2011, IEEE Conference on Decision and Control and European Control Conference.

Multi-Robot Persistent Monitoring: Minimizing Latency and Number of Robots with Recharging Constraints

Stephen L. Smith, S. Sundaram, A. Asghar, 2023, ArXiv.

Multi-Robot Routing for Persistent Monitoring with Latency Constraints

Shreyas Sundaram, Stephen L. Smith, Ahmad Bilal Asghar, 2019, 2019 American Control Conference (ACC).

Stochastic patrolling in adversarial settings

Stephen L. Smith, Ahmad Bilal Asghar, Stephen L. Smith, 2016, 2016 American Control Conference (ACC).

Learning Submodular Objectives for Team Environmental Monitoring

Nils Wilde, Armin Sadeghi, Stephen L. Smith, 2021, IEEE Robotics and Automation Letters.

Learning User Preferences from Corrections on State Lattices

Stephen L. Smith, Nils Wilde, Dana Kulić, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

A complete algorithm for the infinite horizon sensor scheduling problem

Stephen L. Smith, Syed Talha Jawaid, Stephen L. Smith, 2014, 2014 American Control Conference.

Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control pdf

Jun Liu, Stephen L. Smith, Yiming Meng, 2020, 2021 European Control Conference (ECC).

Distributed dominating sets on grids

Shreyas Sundaram, Elaheh Fata, Stephen L. Smith, 2013, 2013 American Control Conference.

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

Ryan N. Smith, D. Rus, G. Sukhatme, 2011, J. Field Robotics.

On Minimum Time Multi-Robot Planning with Guarantees on the Total Collected Reward

Stephen L. Smith, Armin Sadeghi, Ahmad Bilal Asghar, 2019, 2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).

Informative path planning as a maximum traveling salesman problem with submodular rewards

Stephen L. Smith, Syed Talha Jawaid, Stephen L. Smith, 2015, Discret. Appl. Math..

Multi-robot monitoring in dynamic environments with guaranteed currency of observations

Daniela Rus, Stephen L. Smith, D. Rus, 2010, 49th IEEE Conference on Decision and Control (CDC).

Persistent Ocean Monitoring with Underwater Gliders : Adapting Sampling Resolution

Ryan N. Smith, Stephen L. Smith, B. Jones, 2011 .

On efficient computation of shortest Dubins paths through three consecutive points

Stephen L. Smith, Armin Sadeghi, Stephen L. Smith, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

A Patrolling Game for Adversaries with Limited Observation Time

Stephen L. Smith, Ahmad Bilal Asghar, Stephen L. Smith, 2018, 2018 IEEE Conference on Decision and Control (CDC).

On Legible and Predictable Robot Navigation in Multi-Agent Environments

Stephen L. Smith, Christopher Nielsen, Jean-Luc Bastarache, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

An SMT-Based Approach to Motion Planning for Multiple Robots With Complex Constraints

Stephen L. Smith, Frank Imeson, Stephen L. Smith, 2019, IEEE Transactions on Robotics.

Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions

Stephen L. Smith, Nils Wilde, Dana Kulić, 2019, IEEE Robotics and Automation Letters.

Learning User Preferences in Robot Motion Planning Through Interaction

Dana Kulic, Stephen L. Smith, Nils Wilde, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

The maximum traveling salesman problem with submodular rewards

Stephen L. Smith, Syed Talha Jawaid, Stephen L. Smith, 2012, 2013 American Control Conference.

Dynamic vehicle routing with moving demands - Part I: Low speed demands and high arrival rates

Joao P. Hespanha, Francesco Bullo, Stephen L. Smith, 2009, 2009 American Control Conference.

Learning Control Sets for Lattice Planners from User Preferences

Nils Wilde, Alexander Botros, Stephen L. Smith, 2021, WAFR.

A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering

Stephen L. Smith, Shamak Dutta, Nils Wilde, 2023, 2023 62nd IEEE Conference on Decision and Control (CDC).

Robot monitoring for the detection and confirmation of stochastic events

Stephen L. Smith, Ahmad Bilal Asghar, Stephen L. Smith, 2014, 53rd IEEE Conference on Decision and Control.

Data-Driven Model Predictive Control for Linear Time-Periodic Systems

Stephen L. Smith, J. Simpson-Porco, Rui Li, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).