J. Gallagher

发表

Application of evolved locomotion controllers to a hexapod robot

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

Evolving Dynamical Neural Networks for Adaptive Behavior

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

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.

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..

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..

An analysis of neutral drift's effect on the evolution of a ctrnn locomotion controller with noisy fitness evaluation

Gregory R. Kramer, J. Gallagher, 2007 .

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

J. Gallagher, M. Oppenheimer, 2012, Journal of Computer Science and Technology.

HAMLET: A Hierarchical Agent-based Machine Learning Platform

John A. Springer, J. Gallagher, E. Matson, 2020, ACM Transactions on Autonomous and Adaptive Systems.

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.

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.

Evolution and Analysis of Neuromorphic Flapping Wing Flight Control

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

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.

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.

Hierarchical decomposition considered inconvenient: self-adaptation across abstraction layers

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

An Adaptive Neuromorphic Chip for Combustion Control

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

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 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.

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.

A family of compact genetic algorithms for intrinsic evolvable hardware

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

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..

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).

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).

Real-time UAV sound detection and analysis system

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

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.

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).

Using model-based simulation for augmenting Incident Command System for disaster response

David Wood, John Gallagher, Meena Nagarajan, 2016, 2016 Winter Simulation Conference (WSC).

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).

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

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

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.

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.

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.

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

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

Mechatronics for noise control: on the capabilities of ENC

S.A. Vigraham, J.C. Gallagher, Saranyan A. Vigraham, 2006, 2006 American Control Conference.