A global motion planner that learns from experience for autonomous mobile robots-Reference-Cited by-同舟云学术

A global motion planner that learns from experience for autonomous mobile robots

Published:2007-10 Issue:5 Volume:23 Page:544-552
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Diéguez A.R.,Sanz R.,Fernández J.L.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference17 articles.

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3. Chung W, Kim G, Kim M, Lee Ch. Integrated navigation system for indoor service robots in large-scale environments. In: Proceedings of the IEEE international conference on robotics and automation (ICRA). 2004. p. 5099–104.

4. Path planning for moving a point object amidst unknown obstacles in B plane: the universal lower bound on worst case path lengths and a clasification of algorithms;Sanhranareyanan,1991

5. TangentBug: a range sensor-based navigation algorithm;Kamon;J Robotic Res,1998

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