Redundancy resolution of robotic manipulators with neural computation

IEEE Transactions on Industrial Electronics

Volumn 46, Issue 1, 1999, Pages 230-233

  Ding, H ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; INVERSE KINEMATICS; NEURAL NETWORKS; REAL TIME SYSTEMS; REDUNDANCY;

TANK-HOPFIELD (TH) NETWORK;

MANIPULATORS;

EID: 0033078252     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.744418     Document Type: Article

References (8)

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2. R. Dubey and J. Y. S. Luh Redundant robot control for highe flexibility in Proc. IEEE Int. Conf. Robotics and Automation Raleigh NC 1987 pp. 1066-1072.
3. J. M. Hollerbach and K. C. Suh Redundancy resolution of manipulator through torque optimization IEEE Trans. Robot. Automat. vol. RA-3 pp. 308-316 Aug. 1987.
4. M. Shugen A new formulation technique for local torque optimizatio of redundant manipulators IEEE Trans. Ind. Electron. vol. 43 pp 462-468 Aug. 1996.
5. D. W. Tank and J. J. Hopfield Simple neural optimization networks An A/D converter signal decision circuit and a linear programmin circuit IEEE Trans. Circuits Syst. vol. CAS-33 pp. 533-541 Ma 1986.
6. A. A. Maciejewski Kinematic limitations on the use of redundanc in robotic manipulators IEEE Trans. Robot. Automat. vol. 7 pp 205-210 Apr. 1991.
7. F. L. Luo and Y. D. Li 2D neural network with application to solvin a class of matrix equations Int. J. Circuit Theory Appl. vol. 21 no. 6 pp. 539-549 NovVDec. 1993.
8. J. Wang A recurrent neural network for real-time matrix inversion Appl. Math. Comput. vol. 26 pp. 23-34 Jan. 1993.