Gary B. Parker

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 6

Top Topics

Indoor Environments

Autonomous Navigation

Convolutional Neural Networks

Genetic Algorithm

Top Venues

Publications

Cameron L. Angliss, Gary B. Parker
Coevolving Hexapod Legs to Generate Tripod Gaits. ICAART (3) (2023)
Mohammad O. Khan, Gary B. Parker
Using Deep Convolutional Neural Networks to Abstract Obstacle Avoidance for Indoor Environments. SoSE (2023)
Gary B. Parker, Thomas B. Edwards
Using a Genetic Algorithm to Replicate Allopatric Speciation. CEC (2019)
Mohammad O. Khan, Gary B. Parker
Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network. IJCCI (2019)
Mohammad O. Khan, Gary B. Parker
Learning live autonomous navigation: A model car with hardware arduino neurons. SMC (2016)
Gary B. Parker, Mohammad O. Khan
Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips. IJCNN (2016)
Gary B. Parker, Richard Zbeda
Learning Area Coverage for a Self-Sufficient Hexapod Robot Using a Cyclic Genetic Algorithm. IEEE Syst. J. 8 (3) (2014)
Gary B. Parker, David T. Alpert
Automation techniques for intelligent environments. SMC (2012)
Graham Lee, John Borbone, Gary B. Parker
Comparison of a greedy selection operator to tournament selection and a hill climber. IEEE Congress on Evolutionary Computation (2011)
Gary B. Parker, William T. Tarimo
The effects of using a greedy factor in hexapod gait learning. IEEE Congress on Evolutionary Computation (2011)
Gary B. Parker, William T. Tarimo
Using Cyclic Genetic Algorithms to learn gaits for an actual quadruped robot. SMC (2011)
Gary B. Parker, William T. Tarimo, Michael Cantor
Quadruped gait learning using cyclic genetic algorithms. IEEE Congress on Evolutionary Computation (2011)
Gary B. Parker, Pramod J. Nathan
Concurrently evolving sensor morphology and control for a hexapod robot. IEEE Congress on Evolutionary Computation (2010)
Gary B. Parker, Michael H. Probst
Using evolution strategies for the real-time learning of controllers for autonomous agents in Xpilot-AI. IEEE Congress on Evolutionary Computation (2010)
Gary B. Parker, Richard Zbeda
Learning area coverage for a self-sufficient colony robot. IEEE Congress on Evolutionary Computation (2009)
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ramona Georgescu
Morphological Evolution of Dynamic Structures in a 3-Dimensional Simulated Environment. CIRA (2007)
Gary B. Parker, Pramod J. Nathan
Co-Evolution of Sensor Morphology and Control on a Simulated Legged Robot. CIRA (2007)
Gary B. Parker, Gregory E. Fedynyshyn
Enhancing embodied evolution with punctuated anytime learning. SMC (2007)
Matt Parker, Gary B. Parker
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents. CIG (2007)
Gary B. Parker, Matt Parker
Evolving Parameters for Xpilot Combat Agents. CIG (2007)
Matt Parker, Gary B. Parker
The Core: Evolving Autonomous Agent Control. ALIFE (2007)
Gary B. Parker, Richard Zbeda
Learning navigation for recharging a self-sufficient colony robot. SMC (2007)
Gary B. Parker, Matt Parker
The Incremental Evolution of Attack Agents in Xpilot. IEEE Congress on Evolutionary Computation (2006)
Gary B. Parker, Timothy S. Doherty, Matt Parker
Generation of Unconstrained Looping Programs for Control of Xpilot Agents. IEEE Congress on Evolutionary Computation (2006)
Matt Parker, Gary B. Parker
Learning Control for Xpilot Agents in the Core. IEEE Congress on Evolutionary Computation (2006)
Matt Parker, Gary B. Parker
Using a Queue Genetic Algorithm to Evolve Xpilot Control Strategies on a Distributed System. IEEE Congress on Evolutionary Computation (2006)
Gary B. Parker, Richard Zbeda
Controlled use of a robot colony power supply. SMC (2005)
Gary B. Parker, Matt Parker, Steven D. Johnson
Evolving autonomous agent control in the Xpilot environment. Congress on Evolutionary Computation (2005)
Gary B. Parker, Timothy S. Doherty, Matt Parker
Evolution and prioritization of survival strategies for a simulated robot in Xpilot. Congress on Evolutionary Computation (2005)
Gary B. Parker
Evolving gaits for hexapod robots using cyclic genetic algorithms. Int. J. Gen. Syst. 34 (3) (2005)
Gary B. Parker, Ramona Georgescu
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm. GECCO (2005)
Gary B. Parker
Partial recombination for the co-evolution of model parameters. IEEE Congress on Evolutionary Computation (2004)
Gary B. Parker, H. Joseph Blumenthal
Varying sample sizes for the co-evolution of heterogeneous agents. IEEE Congress on Evolutionary Computation (2004)
Gary B. Parker
Fitness biasing to produce adaptive gaits for hexapod robots. IROS (2004)
H. Joseph Blumenthal, Gary B. Parker
Co-Evolving Team Capture Strategies for Dissimilar Robots. AAAI Technical Report (2) (2004)
Gary B. Parker, H. Joseph Blumenthal
Competing sample sizes for the co-evolution of heterogeneous agents. IROS (2004)
H. Joseph Blumenthal, Gary B. Parker
Punctuated anytime learning for evolving multi-agent capture strategies. IEEE Congress on Evolutionary Computation (2004)
Gary B. Parker, Zhiyi Lee
Evolving neural networks for hexapod leg controllers. IROS (2003)
Gary B. Parker
Learning adaptive leg cycles using fitness biasing. IROS (2003)
Gary B. Parker, H. Joseph Blumenthal
Comparison of sampling sizes for the co-evolution of cooperative agents. IEEE Congress on Evolutionary Computation (2003)
Gary B. Parker, Andrey S. Anev, Dejan Duzevik
Evolving towers in a 3-dimensional simulated environment. IEEE Congress on Evolutionary Computation (2003)
Gary B. Parker
Punctuated anytime learning for hexapod gait generation. IROS (2002)
Gary B. Parker
Learning Area Coverage Using The Co-evolution Of Model Parameters. GECCO (2002)
Gary B. Parker
Evolving cyclic control for a hexapod robot performing area coverage. CIRA (2001)
Gary B. Parker
Co-evolving model parameters for anytime learning in evolutionary robotics. Robotics Auton. Syst. 33 (1) (2000)
Gary B. Parker
The co-evolution of model parameters and control programs in evolutionary robotics. CIRA (1999)
Man-tak Shing, Gary B. Parker
Genetic Algorithms for the Development of Real-Time Multi-Heuristic Search Strategies. ICGA (1993)