Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCB.2004.830347
Title: A unified quadratic-programming-based dynamical system approach to joint torque optimization of physically constrained redundant manipulators
Authors: Zhang, Y. 
Ge, S.S. 
Lee, T.H. 
Issue Date: Oct-2004
Citation: Zhang, Y., Ge, S.S., Lee, T.H. (2004-10). A unified quadratic-programming-based dynamical system approach to joint torque optimization of physically constrained redundant manipulators. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (5) : 2126-2132. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2004.830347
Abstract: In this paper, for joint torque optimization of redundant manipulators subject to physical constraints, we show that velocity-level and acceleration-level redundancy-resolution schemes both can be formulated as a quadratic programming (QP) problem subject to equality and inequality/bound constraints. To solve this QP problem online, a primal-dual dynamical system solver is further presented based on linear variational inequalities. Compared to previous researches, the presented QP-solver has simple piecewise-linear dynamics, does not entail real-time matrix inversion, and could also provide joint-acceleration information for manipulator torque control in the velocity-level redundancy-resolution schemes. The proposed QP-based dynamical system approach is simulated based on the PUMA560 robot arm with efficiency and effectiveness demonstrated. © 2004 IEEE.
Source Title: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
URI: http://scholarbank.nus.edu.sg/handle/10635/50856
ISSN: 10834419
DOI: 10.1109/TSMCB.2004.830347
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