Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for Redundant Robots

Fuente: arXiv
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Auteurs principaux: Dai, Chengkai, Lefebvre, Sylvain, Yu, Kai-Ming, Geraedts, Jo M. P., Wang, Charlie C. L.
Format: Preprint
Publié: 2019
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author Dai, Chengkai
Lefebvre, Sylvain
Yu, Kai-Ming
Geraedts, Jo M. P.
Wang, Charlie C. L.
author_facet Dai, Chengkai
Lefebvre, Sylvain
Yu, Kai-Ming
Geraedts, Jo M. P.
Wang, Charlie C. L.
contents We present a method for effectively planning the motion trajectory of robots in manufacturing tasks, the tool-paths of which are usually complex and have a large number of discrete-time constraints as waypoints. Kinematic redundancy also exists in these robotic systems. The jerk of motion is optimized in our trajectory planning method at the meanwhile of fabrication process to improve the quality of fabrication.
format Preprint
id arxiv_https___arxiv_org_abs_1909_06570
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for Redundant Robots
Dai, Chengkai
Lefebvre, Sylvain
Yu, Kai-Ming
Geraedts, Jo M. P.
Wang, Charlie C. L.
Robotics
We present a method for effectively planning the motion trajectory of robots in manufacturing tasks, the tool-paths of which are usually complex and have a large number of discrete-time constraints as waypoints. Kinematic redundancy also exists in these robotic systems. The jerk of motion is optimized in our trajectory planning method at the meanwhile of fabrication process to improve the quality of fabrication.
title Planning Jerk-Optimized Trajectory with Discrete-Time Constraints for Redundant Robots
topic Robotics
url https://arxiv.org/abs/1909.06570