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A new approach to solve the kinematics resolution of a redundant robot

Technical Report ·
OSTI ID:7155137
A classical redundancy resolution scheme for an m-degree of freedom robot involves the numerical or symbolic computation of the Moore-Penrose pseudo-inverse of the Jacobian matrix, which in turn leads to a least norm solution for the joint velocities. Since the Jacobian matrix may be ill-conditioned, the computation of the inverse may often turn out to be lengthy and/or inaccurate. In this paper, we propose an alternative method to find this least norm solution. Namely we modify the original underdetermined problem by transforming it into a set of determined new problems. We compute in parallel the solutions of these problems and find their least norm simplex combination. We prove that if the dimension of the task-space is n, we need only (m {minus} n + 1) such solutions. We also show that the approach can take into account obstacle avoidance and maximum of manipulability or any other type of analytical criterion. We apply the method to a planar redundant arm. 11 refs., 2 figs.
Research Organization:
Oak Ridge National Lab., TN (USA)
Sponsoring Organization:
DOE/ER
DOE Contract Number:
AC05-84OR21400
OSTI ID:
7155137
Report Number(s):
ORNL/TM-11435; CESAR--89/53; ON: DE90010213
Country of Publication:
United States
Language:
English