A numerical approach is proposed for minimum-torque trajectory planning (MT
TP) of kinematically redundant manipulators between two joint configuration
s. Different from the traditional pseudoinverse control scheme, the first s
tep of the proposed approach is to use an iterative procedure to transform
the MTTP problem into a nonlinear programming (NLP) problem. Then an approa
ch to generate a series of feasible solutions for the NLP problem is propos
ed. Since a sufficient number of feasible solutions can be easily generated
, the optimization process of the NLP problem can be started from different
points to search for all the local minima. To show the validity of the pro
posed approach, a planar three-link robotic manipulator is included in the
simulation example.