Manipulator motion planning using flexible obstacle avoidance based on model learning

Traditional manipulator motion planning methods aim to find collision-free paths. But in highly cluttered environments, it is hard to find available solutions. We present a novel motion planning strategy which integrates the sampling-based path planning algorithm with the flexible obstacle avoidance...

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Bibliographic Details
Main Authors: Zhixuan Wei, Weidong Chen, Hesheng Wang, Jingchuan Wang
Format: Article
Language:English
Published: SAGE Publishing 2017-05-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881417703930