WXH220 / ADD-RRV

A novel sampleing-based motion planning algorithm integrate ADD-RRT, RRV, modified Bridge Test together with some other improvements for complex environments especially narrow passages.

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ADD-RRV

A novel sampleing-based motion planning algorithm integrate ADD-RRT, RRV, modified Bridge Test together with some other improvements for complex environments especially narrow passages.

Demonstrations are implemented in Matlab, including Bug Trap scenario, Long Jaggy Passage scenario and Planar Manipulator Scenario.

Revelant codes are only used for presentation temporarily, and more user-friendly improvemwnts will be made in the future.

If you have any queries, please don’t hesitate to contact us.

All copyright reserved by Peng Cai.

E-mail: pcai@mail.nwpu.edu.cn

Latest changes made in May, 1st, 2021.

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A novel sampleing-based motion planning algorithm integrate ADD-RRT, RRV, modified Bridge Test together with some other improvements for complex environments especially narrow passages.

License:MIT License


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Language:MATLAB 100.0%