Abstract
The off-line global trajectory planning for kinematically redundant manipulators is formulated as an optimization problem whose solution is obtained by applying the Pontryagin’s Maximum Principle. The state space augmentation method is developed to obtain a set of optimal joint trajectories corresponding to a singularity-free Cartesian path which avoids joint limits and conserves joint configuration in cyclic motion. Results of computer simulation conducted on a three-degree-of-freedom planar manipulator are presented and discussed.
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Zhou, ZL., Nguyen, C.C. Globally Optimal Trajectory Planning for Redundant Manipulators using State Space Augmentation Method. Journal of Intelligent and Robotic Systems 19, 105–117 (1997). https://doi.org/10.1023/A:1007905817998
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DOI: https://doi.org/10.1023/A:1007905817998