NDLI: Applying dynamic networks and staged evolution for soccer robots

Content Provider	IEEE Xplore Digital Library
Author	Polvichai, J. Khosla, P.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Polvichai, J.; Khosla, P.)
Abstract	Behavior-based design has been widely recognized as one of the main approaches in traditional robot design. In this paper, we propose an integration of behavior-based approach and evolutionary algorithm, called an evolutionary behavior programming system. By adapting from the idea of Behavior Analysis, Behavioral Modules and Interactions are used for coding behavior-based control systems into a particular programming form. Therefore, the processes of Genetic Programming (GP) can be performed to evolve possible behavior-based control systems. Furthermore, with the intention to improve the learning performances in dynamic environments, a new idea of turning on/off each module in the network stochastically, called Dynamic Network, is applied. Experiments on soccer robots are simulated to verify this new approach. With the intention of training robots to play soccer games, staged evolution is used to speed up the learning process. Simulation experimental results demonstrate that this proposed method is highly promising.
Sponsorship	IEEE Robotics & Autom. Soc. IEEE Ind. Electron. Soc. Robotics Soc. Japan Soc. Instrum. & Control Eng. New Technol. Found
Starting Page	3016
Ending Page	3021
File Size	506238
Page Count	6
File Format	PDF
ISBN	0780378601
DOI	10.1109/IROS.2003.1249330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic programming Control systems Automatic control Robot control Robot sensing systems Evolutionary computation Robot programming Robotics and automation Design engineering Performance analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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