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Robot path planning in uncertain environments based on particle swarm optimization

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3 Author(s)
Dunwei Gong ; Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou ; Li Lu ; Ming Li

We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot's cognition to its environment is not complete, i.e., the information of these obstacles in the environment is uncertain. We firstly construct a global environment model based on the uncertain information of these obstacles, and then give a globally optimal path by using particle swarm optimization. Finally, we present a local optimal strategy to handle the uncertain information detected by the robot in real-time. Our preliminary simulation results show that the proposed method is feasible and efficient.

Published in:

Evolutionary Computation, 2009. CEC '09. IEEE Congress on

Date of Conference:

18-21 May 2009

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