Motion planning with obstacle avoidance for kinematically redundant manipulators based on two recurrent neural networks

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2009, Pages 137-142

  Hu, Xiaolin ^a,b   Wang, Jun ^c   Zhang, Bo ^a,b  

^a TSINGHUA NATIONAL LABORATORY FOR INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b TSINGHUA UNIVERSITY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ASSIGNMENT PROBLEMS; CRITICAL POINTS; DUAL NEURAL NETWORKS; JOINT VELOCITY; KINEMATICALLY REDUNDANT MANIPULATORS; MITSUBISHI; NON-LINEAR OPTIMIZATION PROBLEMS; OBSTACLE AVOIDANCE; PROJECTION NEURAL NETWORK; QUADRATIC PROGRAMMING PROBLEMS; REAL TIME; SMOOTHING TECHNIQUES; STRUCTURAL COMPLEXITY; SUB-PROBLEMS; TIME VARYING;

COMPUTER SIMULATION; CYBERNETICS; EQUATIONS OF STATE; INVERSE KINEMATICS; MOTION PLANNING; NAVIGATION; OPTIMIZATION; REDUNDANT MANIPULATORS; REINFORCEMENT LEARNING; ROBOT PROGRAMMING;

RECURRENT NEURAL NETWORKS;

EID: 74849104906     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346561     Document Type: Conference Paper

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