DocumentCode
306225
Title
Learning a visual task by genetic programming
Author
Chongistitvatana, P. ; Polvichai, Jumpol
Author_Institution
Dept. of Comput. Eng., Chulalongkorn Univ., Bangkok, Thailand
Volume
2
fYear
1996
fDate
4-8 Nov 1996
Firstpage
534
Abstract
This work describes a hand-eye system that can learn from its experience. The task is to visually guide the hand to reach a target while avoiding obstacles. The motion planning problem is solved by genetic programming. The system learns the forward kinematics by building a lookup table and uses it in the simulation run to generate robot programs that perform the task. The genetically created programs are validated by the actual runs on the robot
Keywords
genetic algorithms; learning systems; manipulator kinematics; path planning; robot programming; robot vision; table lookup; forward kinematics; genetic programming; hand-eye system; lookup table; manipulators; motion planning; obstacle avoidance; robot programs; visual guidance; visual task learning; Artificial intelligence; Genetic algorithms; Genetic programming; Intelligent robots; Intelligent structures; Learning systems; Motion planning; Orbital robotics; Robot kinematics; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
Conference_Location
Osaka
Print_ISBN
0-7803-3213-X
Type
conf
DOI
10.1109/IROS.1996.570847
Filename
570847
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