John C. Gallagher

发表

Evolved neuromorphic flight control for a flapping-wing mechanical insect model

Sanjay K. Boddhu, John C. Gallagher, J. Gallagher, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

A Research Platform for Flapping Wing Micro Air Vehicle Control Study

Sanjay K. Boddhu, John C. Gallagher, Eric T. Matson, 2014, RiTA.

The once and future analog alternative: evolvable hardware and analog computation

John C. Gallagher, J. Gallagher, 2003, NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings..

An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problem

John C. Gallagher, Gregory R. Kramer, J. Gallagher, 2005, 2005 IEEE Congress on Evolutionary Computation.

Improving In-Flight Learning in a Flapping Wing Micro Air Vehicle

Sanjay K. Boddhu, John C. Gallagher, Hermanus V. Botha, 2016, Int. J. Monit. Surveillance Technol. Res..

Evolving Dynamical Neural Networks for Adaptive Behavior

Randall D. Beer, John C. Gallagher, R. Beer, 1992, Adapt. Behav..

An Adaptive Neuromorphic Chip for Combustion Control

Mitch Wolff, John C. Gallagher, J. Gallagher, 2007 .

An Ontology Design Pattern for Cooking Recipes - Classroom Created

Cong Wang, Pascal Hitzler, John C. Gallagher, 2014, WOP.

Combination of radar and audio sensors for identification of rotor-type Unmanned Aerial Vehicles (UAVs)

John C. Gallagher, Eric T. Matson, Yongho Kim, 2015, 2015 IEEE SENSORS.

An ASIC Analog Neuromorphic Computer for Evolvable Hardware Applications

John C. Gallagher, Sanjay Boddhu, J. Gallagher, 2014 .

The Technology of the Gaps: An Evolvable Hardware Synthesized Oscillator for the Control of a Flapping-Wing Micro Air Vehicle

John C. Gallagher, Michael W. Oppenheimer, David B. Doman, 2012, IEEE Transactions on Evolutionary Computation.

A space saving digital VLSI evolutionary engine for CTRNN-EH devices

John C. Gallagher, Saranyan Vigraham, 2005, 2005 IEEE Congress on Evolutionary Computation.

UAV Detection System with Multiple Acoustic Nodes Using Machine Learning Models

John C. Gallagher, Eric T. Matson, J. Eric Dietz, 2019, 2019 Third IEEE International Conference on Robotic Computing (IRC).

An Islands-of-Fitness Compact Genetic Algorithm Approach to Improving Learning Time in Swarms of Flapping-Wing Micro Air Vehicles

John C. Gallagher, J. Gallagher, 2012, RiTA.

CS 766: Evolutionary Computation

John C. Gallagher, 2011 .

Evolution and analysis of non-autonomous neural networks for walking: reflexive pattern generators

John C. Gallagher, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

A Commercial Off-the-Shelf Implementation of an Analog Neural Computer

Sanjay K. Boddhu, John C. Gallagher, Saranyan Vigraham, 2008, Int. J. Artif. Intell. Tools.

A Modified Compact Genetic Algorithm For The Intrinsic Evolution Of Continuous Time Recurrent Neural Networks

John C. Gallagher, Saranyan Vigraham, Saranyan A. Vigraham, 2002, GECCO.

CTRNN-EH in Silicon: Challenges in Realizing Configurable CTRNNs in VLSI

John C. Gallagher, Saranyan Vigraham, 2006, 2006 IEEE International Conference on Evolutionary Computation.

A reconfigurable continuous time recurrent neural network for evolvable hardware applications

Sanjay K. Boddhu, John C. Gallagher, Saranyan Vigraham, 2005, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05).

Creation of an API for sensors and servos

John C. Gallagher, Neal Eikenberry, Kevin Kirke, 2012, Defense + Commercial Sensing.

A Demonstration of Core-Model Independence in Evolutionary Model Consistency Checking

John C. Gallagher, Eric T. Matson, 2019, 2019 Third IEEE International Conference on Robotic Computing (IRC).

A dynamic search space approach to improving learning on a simulated Flapping Wing Micro Air Vehicle

Sanjay K. Boddhu, John C. Gallagher, Monica Sam, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Cross-layer learning in an evolvable oscillator for in-flight controller adaptation in a flapping-wing micro air vehicle

John C. Gallagher, Michael W. Oppenheimer, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

On the relative efficacies of space saving *CGAs for evolvable hardware applications

John C. Gallagher, Saranyan Vigraham, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

HAMLET: A Hierarchical Agent-based Machine Learning Platform pdf

John C. Gallagher, Eric T. Matson, John A. Springer, 2020, ArXiv.

An improved evolvable oscillator for all flight mode control of an insect-scale flapping-wing micro air vehicle

Michael W. Oppenheimer, John C. Gallagher, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Application of evolved locomotion controllers to a hexapod robot

Randall D. Beer, Roger D. Quinn, John C. Gallagher, 1996, Robotics Auton. Syst..

A HARMS-based heterogeneous human-robot team for gathering and collecting

John C. Gallagher, Eric T. Matson, Miae Kim, 2018 .

On the relative efficacies of *cGA variants for intrinsic evolvable hardware; population, mutation, and random immigrants

John C. Gallagher, Michael L. Raymer, Gregory R. Kramer, 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

Evolving neuromorphic flight control for a flapping-wing mechanical insect

John C. Gallagher, Sanjay Boddhu, 2010, Int. J. Intell. Comput. Cybern..

Evolution and analysis of mixed mode neural networks for walking: mixed pattern generators

John C. Gallagher, 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

CS 7840: Soft Computing

John C. Gallagher, 2012 .

A family of compact genetic algorithms for intrinsic evolvable hardware

John C. Gallagher, Gregory R. Kramer, Saranyan Vigraham, 2004, IEEE Transactions on Evolutionary Computation.

Evolution of dynamical neural network arrays to correct arrhythmias in a simulated human heart

John C. Gallagher, 2001 .

Cyber-Physical Systems: The Next Generation of Evolvable Hardware Research and Applications

Garrison W. Greenwood, John C. Gallagher, Eric T. Matson, 2015 .

Real-time UAV sound detection and analysis system

Junghyun Park, John C. Gallagher, Youlim Ko, 2017, 2017 IEEE Sensors Applications Symposium (SAS).

An adaptive neuromorphic chip for augmentative control of air breathing jet turbine engines

John C. Gallagher, Kshitij S. Deshpande, M. Wolff, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Evolution and Analysis of Dynamical Neural Networks for Agents Integrating Vision, Locomotion, and Short-Term Memory

Randall D. Beer, John C. Gallagher, R. Beer, 1999, GECCO.

CEG 498: Design Experience

John C. Gallagher, 2004 .

On Learning to Trust the Unexpected: Toward a Systematic Apologetic for Evolvable Hardware

John C. Gallagher, J. Gallagher, 2007, 2007 IEEE Workshop on Evolvable and Adaptive Hardware (WEAH2007).

An analog evolvable hardware device for active control

John C. Gallagher, Saranyan A. Vigraham, 2007 .

A Multi-Agent System for Autonomous Adaptive Control of a Flapping-Wing Micro Air Vehicle

Garrison W. Greenwood, John C. Gallagher, Eric T. Matson, 2015, 2015 IEEE Symposium Series on Computational Intelligence.

Evolutionary strategy approach for improved in-flight control learning in a simulated Insect-Scale Flapping-Wing Micro Air Vehicle

Sanjay K. Boddhu, John C. Gallagher, Monica Sam, 2014, 2014 IEEE International Conference on Evolvable Systems.

Evolution and Analysis of Neuromorphic Flapping Wing Flight Control

John C. Gallagher, Sanjay Boddhu, J. Gallagher, 2013 .

CEG 4980/4981-01: Team Projects I and II

John C. Gallagher, 2012 .

CEG/EE 260: Digital Computer Hardware Switching Circuits

John C. Gallagher, 2008 .

A synergistic co-operative framework of health diagnostic systems for people with disabilities and the elderly: a case study

Nikolaos G. Bourbakis, John C. Gallagher, 2008 .

CS 350/550: Computational Tools and Techniques for Data Analysis

John C. Gallagher, 2011 .

Exploring EO vehicle recognition performance using manifolds as a function of lighting condition variability

John C. Gallagher, Michael L. Raymer, Edmund G. Zelnio, 2015, Defense + Security Symposium.

DISTRIBUTED EXECUTIVE CONTROL IN A CLASS OF MODULAR MULTIPROCESSOR COMPUTING SYSTEMS VIA A PRIORITY MEMORY.

John C. Gallagher, Robert M. Dunn, David R. Hadden, 1966 .

CEG 498-01: Design Experience

John C. Gallagher, 2005 .

Drag force fault extension to evolutionary model consistency checking for a flapping-wing micro air vehicle

Garrison W. Greenwood, Sanjay K. Boddhu, John C. Gallagher, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

CEG 260-01: Digital Computer Hardware and Switching Circuits

John C. Gallagher, 2011 .

A Reconfigurable Analog Neural Network for Evolvable Hardware Applications: Intrinsic Evolution and Extrinsic Verification

Sanjay K. Boddhu, John C. Gallagher, Saranyan Vigraham, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Evolving analog controllers for correcting thermoacoustic instability in real hardware

Sanjay K. Boddhu, John C. Gallagher, Saranyan Vigraham, 2005, GECCO '05.

A qualitative dynamical analysis of evolved locomotion controllers

Randall D. Beer, John C. Gallagher, R. Beer, 1993 .

Evolution and Analysis of Model CPGs for Walking: II. General Principles and Individual Variability

Randall D. Beer, Hillel J. Chiel, John C. Gallagher, 1999, Journal of Computational Neuroscience.

A dynamical systems analysis of the neural basis of behavior in an artificial autonomous agent

John C. Gallagher, Randall D. Beer, 1998 .

CS 409/609: Principles of Artificial Intelligence

John C. Gallagher, 2005 .

Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers

John C. Gallagher, J. Gallagher, 2012, Defense + Commercial Sensing.

An Examination of Hypermutation and Random Immigrant Variants of mrCGA for Dynamic Environments

John C. Gallagher, Gregory R. Kramer, 2003, GECCO.

A case for using Minipop as the evolutionary engine in a CTRNN-EH control device: an analysis of area requirements and search efficacy

John C. Gallagher, Saranyan Vigraham, 2005, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05).

Improved Control System for Analyzing and Validating Motion Controllers for Flapping Wing Vehicles

Sanjay K. Boddhu, John C. Gallagher, Hermanus V. Botha, 2013, RiTA.

Maintaining Model Consistency during In-Flight Adaptation in a Flapping-Wing Micro Air Vehicle

John C. Gallagher, Eric T. Matson, Laura R. Humphrey, 2013, RiTA.

Active Control of Thermoacoustic Instability in a Model Combustor with Neuromorphic Evolvable Hardware

John C. Gallagher, Saranyan Vigraham, 2003, GECCO.

A neuromorphic paradigm for extrinsically evolved hybrid analog/digital device controllers: initial explorations

John C. Gallagher, J. Gallagher, 2001, Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001.

An Improved Evolvable Oscillator and Basis Function Set for Control of an Insect-Scale Flapping-Wing Micro Air Vehicle

John C. Gallagher, Michael W. Oppenheimer, 2012, Journal of Computer Science and Technology.

CEG 498-01: Team Projects I and II

John C. Gallagher, 2007 .

Design Constraints of a Minimally Actuated Four Bar Linkage Flapping-Wing Micro Air Vehicle

John C. Gallagher, Jesse A. Roll, Benjamin M. Perseghetti, 2013, RiTA.

On the implications of plug-and-learn adaptive hardware components toward a cyberphysical systems perspective on evolvable and adaptive hardware

Garrison W. Greenwood, John C. Gallagher, Eric T. Matson, 2013, 2013 IEEE International Conference on Evolvable Systems (ICES).

Evolving non-autonomous neuromorphic flight control for a flapping-wing mechanical insect

Sanjay K. Boddhu, John C. Gallagher, 2009, 2009 IEEE Workshop on Evolvable and Adaptive Hardware.

Improvements to the *CGA enabling online intrinsic evolution in compact EH devices

John C. Gallagher, Gregory R. Kramer, J. Gallagher, 2003, NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings..

Convolutional Neural Networks for Analyzing Unmanned Aerial Vehicles Sound

Daeun Kim, John C. Gallagher, Eric T. Matson, 2018, 2018 18th International Conference on Control, Automation and Systems (ICCAS).

Qualitative Functional Decomposition Analysis of Evolved Neuromorphic Flight Controllers

Sanjay K. Boddhu, John C. Gallagher, 2012, Appl. Comput. Intell. Soft Comput..

A reconfigurable continuous time recurrent neural network for evolvable hardware applications

Sanjay K. Boddhu, John C. Gallagher, Saranyan Vigraham, 2005, 2005 IEEE Congress on Evolutionary Computation.

Islands of fitness compact genetic algorithm for rapid in-flight control learning in a Flapping-Wing Micro Air Vehicle: A search space reduction approach

Sanjay K. Boddhu, John C. Gallagher, Monica Sam, 2014, 2014 IEEE International Conference on Evolvable Systems.

Easy Access of EOSDIS HDF data via OPeNDAP and Other Tools

John C. Gallagher, Ming-hour Yang, Michael Folk, 2010 .

Improved learning in an evolvable hardware hover controller for an insect scale Flapping-Wing Micro Air Vehicle

John C. Gallagher, Laurence D. Merkle, Matthew E. Kijowski, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

WWW autonomous robotics: enabling wide area access to a computer engineering practicum

John C. Gallagher, Steven Perretta, 2002, SIGCSE '02.

A Provisional Approach to Maintaining Verification and Validation Capability in Self-Adapting Robots

John C. Gallagher, Eric T. Matson, James Goppert, 2017, 2017 First IEEE International Conference on Robotic Computing (IRC).

Optimizing Energy Efficiency of a Flapping Robotic Bird Through Application of Evolutionary Algorithms

Inseok Hwang, John C. Gallagher, Eric T. Matson, 2015 .

Model Checking of a Flapping-Wing Mirco-Air-Vehicle Trajectory Tracking Controller Subject to Disturbances

Inseok Hwang, John C. Gallagher, Eric T. Matson, 2013, RiTA.

Evolution and Analysis of Model CPGs for Walking: I. Dynamical Modules

Randall D. Beer, Hillel J. Chiel, John C. Gallagher, 1999, Journal of Computational Neuroscience.

An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV

John C. Gallagher, Eric T. Matson, Jin-Woo Jung, 2016, Int. J. Fuzzy Log. Intell. Syst..

An Evolvable Hardware Layer for Global and Local Learning of Motor Control in a Hexapod Robot

John C. Gallagher, J. Gallagher, 2005, Int. J. Artif. Intell. Tools.