A dual neural network for bi-criteria torque optimization of redundant robot manipulators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 1142-1147

  Liu, Shubao ^a   Wang, Jun ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY UTILIZATION; REDUNDANT MANIPULATORS; ROBOT APPLICATIONS; TORQUE;

DUAL NEURAL NETWORKS; KINEMATICALLY REDUNDANT MANIPULATORS; OPTIMIZATION SCHEME; REDUNDANT ROBOT MANIPULATORS; SIMPLE STRUCTURES; TORQUE DISTRIBUTION; TORQUE OPTIMIZATION; TOTAL ENERGY CONSUMPTION;

MANIPULATORS;

EID: 24944490757     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_177     Document Type: Article

References (5)

1. Nedungadi, A., Kazerouinian, K.: A local solution with global characteristics for joint torque optimization of a redundant manipulator. J. Robot. Syst. 6 (1989) 631-654
2. Shim, I., Yoon, Y.: Stabilized minimum infinity-norm torque solution for redundant manipulators. Robotica 16 (1998) 1993-205
3. Tang, W., Wang, J.: Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators. IEEE Trans. Syst. Man Cyber. 30 (2000) 120-128
4. Zhang, Y., Wang, J.: A dual neural network for constrained torque optimization of kinematically redundant manipulators. IEEE Trans. Syst. Man Cyber. 32 (2002) 654-662
5. Zhang, Y., Wang, J., Xu, Y.: A dual neural network for bi-criteria kinematic control of redundant manipulators. IEEE Trans. Robot. Automat. 18 (2002) 923-931