An Efficient Stochastic Constrained Path Planner for Redundant Manipulators
This brief proposes a novel stochastic method that exploits the particular kinematics of mechanisms with redundant actuation and a well-known manipulability measure to track the desired end-effector task-space motion in an efficient manner. Whilst closed-form optimal solutions to maximise manipulabi...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/22/10636 |