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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-05-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881417703930 |