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Rapid updating for path-planning using nonlinear branch-and-bound

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2 Author(s)
Alison Eele ; Department of Engineering, Cambridge University, United Kingdom ; Arthur Richards

This paper develops and tests a novel rapid updating technique for use with a nonlinear branch and bound optimisation method, tailored for finding optimal trajectories for a vehicle constrained to avoid fixed obstacles. The key feature of the rapid updating technique developed is the ability to increment and re-arrange the existing search tree reducing the amount of computation taken to find a new plan. The rapid updating techniques developed are combined into a receding horizon control and compared to full cold start method. The rapid updating technique demonstrated an average 62% solve time improvement over a cold start. The rapid updating method is also demonstrated for removal of obstacles from the environment and very large scale problems with 60 obstacles.

Published in:

Robotics and Automation (ICRA), 2010 IEEE International Conference on

Date of Conference:

3-7 May 2010