An evolutionary behavior programming system with dynamic networks for mobile robots in dynamic environments

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2002, Pages 978-983

  Polvichai, Jumpol ^a   Khosla, Pradeep ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; COMPUTER CONTROL SYSTEMS; COMPUTER SIMULATION; EVOLUTIONARY ALGORITHMS; ROBOT PROGRAMMING;

DYNAMIC NETWORK; EVOLUTIONARY BEHAVIOR PROGRAMMING SYSTEMS; GENETIC PROGRAMMING; ROBOT CONTROL SYSTEM;

MOBILE ROBOTS;

EID: 0036453567     PISSN: None     EISSN: None     Source Type: Journal    
DOI: 10.1109/IRDS.2002.1041517     Document Type: Article

References (11)

1. R. C. Arkin (1998). Behavior Based Robotics. Cambridge, MA: The MIT Press.
2. R. A. Brooks, (1999). Cambrian Intelligence: the Early History of the New AI. Cambridge, MA: A Bradford Book, The MIT Press.
3. P. Chongstitvatana (1998). Improving Robustness of Robot Programs Generated by Genetic Programming for Dynamic Environments. IEEE Asia-Pacific Conference on Circuits and Systems, 523-526. Chieng Mai.
4. M. Colombetti, M. Dorigo and G. Borghi (1996). Behavior Analysis and Training-A Methodology for Behavior Engineering. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. Vol. 26, no 3, 365-380.
5. M. Dorigo and M. Colombetti (1998). Robot Shaping: An Experiment in Behavior Engineering. Cambridge, MA: The MIT Press.
6. J.R. Koza (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: The MIT Press.
7. W. P. Lee (1998). An Evolutionary System for Automatic Robot Design. IEEE International Conference on Systems, Man, and Cybernetics, vol. 4, 3477-3482.
8. W. P. Lee, J. Hallam and H. H. Lund (1997). Apply Genetic Programming to Evolve Behavior Primitives and Arbitrators for Mobile Robots. Proceedings of IEEE 4th International Conference on Evolutionary Computation, 501-506.
9. W. P. Lee and S. F. Lai (1999). An Example-Based Approach for Evolving Robot Controllers. IEEE International Conference on Systems, Man, and Cybernetics, vol. 5, 618-623.
10. A. Ram, R. Arkin, G. Boone, and M. Pearce (1994). Using Genetic Algorithm to Learn Reactive Control Parameters for Autonomous Robotic Navigation. Adaptive Behavior, volume 2, 277-304.
11. C. W. Renolds (1993). Evolution of Obstacle Avoidance Behavior: Using Noise to Promote Robust Solutions. In K.E. Kinnear, Jr. (ed.) Advances in Genetic Programming, The MIT Press.