Learning Adaptive Leg Cycles Using Fitness Biasing

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2003, Pages 100-105

  Parker, Gary B ^a  

^a The Holleran Center for Community Action and Public Policy   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAIT GENERATION; NEURONS;

COMPUTER SIMULATION; CONTROL SYSTEMS; GAIT ANALYSIS; GENETIC ALGORITHMS; LEARNING SYSTEMS; MICROPROCESSOR CHIPS; NEURAL NETWORKS; REAL TIME SYSTEMS; ROBOTICS;

MOBILE ROBOTS;

EID: 0348041580     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Beer, R. D., and Gallagher, J. C. (1992). "Evolving Dynamic Neural Networks for Adaptive Behavior." Adaptive Behavior, 1, pp. 91-122.
2. Lewis, M. A., Fagg, A. H., and Solidum A. (1992). "Genetic Programming Approach to the Construction of a Neural Network for Control of a Walking Robot" 1992 IEEE International Conference on Robotics and Automation, pp. 2618-23.
3. Parker, G. and Rawlins, G. (1996). "Cyclic Genetic Algorithms for the Locomotion of Hexapod Robots." Proceedings of the World Automation Congress, Volume 3, Robotic and Manufacturing Systems, pp. 617-622.
4. Parker, G. and Mills, J. (1999). "Adaptive Hexapod Gait Control Using Anytime Learning with Fitness Biasing." Proceedings of the Genetic and Evolutionary Computation Conference, pp. 519-524.
5. Parker, G. (2000). "Co-Evolving Model Parameters for Anytime Learning in Evolutionary Robotics." Robotics and Autonomous Systems, Volume 33, Issue 1, pp. 13-30.
6. Parker, G. (2001). "The Incremental Evolution of Gaits for Hexapod Robots." Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2001). (pp. 1114-1121).
7. Parker, G. (2002). "Punctuated Anytime Learning for Hexapod Gait Generation." Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems. pp. 2664-2671.