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2020 – today
- 2023
[c44]Cameron L. Angliss, Gary B. Parker:
Coevolving Hexapod Legs to Generate Tripod Gaits. ICAART (3) 2023: 1063-1071- [c43]Mohammad O. Khan, Gary B. Parker:
Using Deep Convolutional Neural Networks to Abstract Obstacle Avoidance for Indoor Environments. SoSE 2023: 1-7
2010 – 2019
- 2019
- [c42]Gary B. Parker, Thomas B. Edwards:
Using a Genetic Algorithm to Replicate Allopatric Speciation. CEC 2019: 1846-1851 - [c41]Mohammad O. Khan, Gary B. Parker:
Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network. IJCCI 2019: 403-411 - 2016
- [c40]Gary B. Parker, Mohammad O. Khan:
Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips. IJCNN 2016: 206-212 - [c39]Mohammad O. Khan, Gary B. Parker:
Learning live autonomous navigation: A model car with hardware arduino neurons. SMC 2016: 4118-4123 - 2014
- [j3]Gary B. Parker, Richard Zbeda:
Learning Area Coverage for a Self-Sufficient Hexapod Robot Using a Cyclic Genetic Algorithm. IEEE Syst. J. 8(3): 778-790 (2014) - 2012
- [c38]Gary B. Parker, David T. Alpert:
Automation techniques for intelligent environments. SMC 2012: 202-207 - 2011
- [c37]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: 1504-1508 - [c36]Gary B. Parker, William T. Tarimo:
The effects of using a greedy factor in hexapod gait learning. IEEE Congress on Evolutionary Computation 2011: 1509-1514 - [c35]Gary B. Parker, William T. Tarimo, Michael Cantor:
Quadruped gait learning using cyclic genetic algorithms. IEEE Congress on Evolutionary Computation 2011: 1529-1534 - [c34]Gary B. Parker, William T. Tarimo:
Using Cyclic Genetic Algorithms to learn gaits for an actual quadruped robot. SMC 2011: 1938-1943 - 2010
- [c33]Gary B. Parker, Pramod J. Nathan:
Concurrently evolving sensor morphology and control for a hexapod robot. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c32]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: 1-7
2000 – 2009
- 2009
- [c31]Gary B. Parker, Richard Zbeda:
Learning area coverage for a self-sufficient colony robot. IEEE Congress on Evolutionary Computation 2009: 2083-2090 - 2007
- [c30]Matt Parker, Gary B. Parker:
The Evolution of Multi-Layer Neural Networks for the Control of Xpilot Agents. CIG 2007: 232-237 - [c29]Gary B. Parker, Matt Parker:
Evolving Parameters for Xpilot Combat Agents. CIG 2007: 238-243 - [c28]Gary B. Parker, Pramod J. Nathan:
Co-Evolution of Sensor Morphology and Control on a Simulated Legged Robot. CIRA 2007: 516-521 - [c27]Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ramona Georgescu:
Morphological Evolution of Dynamic Structures in a 3-Dimensional Simulated Environment. CIRA 2007: 534-540 - [c26]Matt Parker, Gary B. Parker:
The Core: Evolving Autonomous Agent Control. ALIFE 2007: 222-228 - [c25]Gary B. Parker, Gregory E. Fedynyshyn:
Enhancing embodied evolution with punctuated anytime learning. SMC 2007: 190-195 - [c24]Gary B. Parker, Richard Zbeda:
Learning navigation for recharging a self-sufficient colony robot. SMC 2007: 734-740 - 2006
- [c23]Matt Parker, Gary B. Parker:
Learning Control for Xpilot Agents in the Core. IEEE Congress on Evolutionary Computation 2006: 800-807 - [c22]Gary B. Parker, Matt Parker:
The Incremental Evolution of Attack Agents in Xpilot. IEEE Congress on Evolutionary Computation 2006: 969-975 - [c21]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: 1202-1207 - [c20]Gary B. Parker, Timothy S. Doherty, Matt Parker:
Generation of Unconstrained Looping Programs for Control of Xpilot Agents. IEEE Congress on Evolutionary Computation 2006: 1216-1223 - 2005
- [j2]Gary B. Parker:
Evolving gaits for hexapod robots using cyclic genetic algorithms. Int. J. Gen. Syst. 34(3): 301-315 (2005) - [c19]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: 2410-2415 - [c18]Gary B. Parker, Matt Parker, Steven D. Johnson:
Evolving autonomous agent control in the Xpilot environment. Congress on Evolutionary Computation 2005: 2416-2421 - [c17]Gary B. Parker, Ramona Georgescu:
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm. GECCO 2005: 147-148 - [c16]Gary B. Parker, Richard Zbeda:
Controlled use of a robot colony power supply. SMC 2005: 3491-3496 - 2004
- [c15]H. Joseph Blumenthal, Gary B. Parker:
Co-Evolving Team Capture Strategies for Dissimilar Robots. AAAI Technical Report (2) 2004: 15-22 - [c14]Gary B. Parker, H. Joseph Blumenthal:
Varying sample sizes for the co-evolution of heterogeneous agents. IEEE Congress on Evolutionary Computation 2004: 766-771 - [c13]H. Joseph Blumenthal, Gary B. Parker:
Punctuated anytime learning for evolving multi-agent capture strategies. IEEE Congress on Evolutionary Computation 2004: 1820-1827 - [c12]Gary B. Parker:
Partial recombination for the co-evolution of model parameters. IEEE Congress on Evolutionary Computation 2004: 2216-2223 - [c11]Gary B. Parker, H. Joseph Blumenthal:
Competing sample sizes for the co-evolution of heterogeneous agents. IROS 2004: 1438-1443 - [c10]Gary B. Parker:
Fitness biasing to produce adaptive gaits for hexapod robots. IROS 2004: 2843-2848 - 2003
- [c9]Gary B. Parker, H. Joseph Blumenthal:
Comparison of sampling sizes for the co-evolution of cooperative agents. IEEE Congress on Evolutionary Computation 2003: 536-543 - [c8]Gary B. Parker, Andrey S. Anev, Dejan Duzevik:
Evolving towers in a 3-dimensional simulated environment. IEEE Congress on Evolutionary Computation 2003: 1137-1144 - [c7]Gary B. Parker:
Learning adaptive leg cycles using fitness biasing. IROS 2003: 100-105 - [c6]Gary B. Parker, Zhiyi Lee:
Evolving neural networks for hexapod leg controllers. IROS 2003: 1376-1381 - 2002
- [c5]Gary B. Parker:
Learning Area Coverage Using The Co-evolution Of Model Parameters. GECCO 2002: 1286-1294 - [c4]Gary B. Parker:
Punctuated anytime learning for hexapod gait generation. IROS 2002: 2664-2671 - 2001
- [c3]Gary B. Parker:
Evolving cyclic control for a hexapod robot performing area coverage. CIRA 2001: 555-560 - 2000
- [j1]Gary B. Parker:
Co-evolving model parameters for anytime learning in evolutionary robotics. Robotics Auton. Syst. 33(1): 13-30 (2000)
1990 – 1999
- 1999
- [c2]Gary B. Parker:
The co-evolution of model parameters and control programs in evolutionary robotics. CIRA 1999: 162-167 - 1993
- [c1]Man-tak Shing, Gary B. Parker:
Genetic Algorithms for the Development of Real-Time Multi-Heuristic Search Strategies. ICGA 1993: 565-572
Coauthor Index
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