Approach on Path Planning for Climbing Robot

Kroumov Valeri · Jisuanji fangzhen · 2009

The problem of global path planning was studied on a climbing robot in 3D environment.An aggressive algorithm for path planning was proposed.The object was described by an energy function defined using neural network.Different initial simulated anneal temperature of each surface of an object could be set according to the shape of the object,and different path generating equations are used depending on whether the path points lye inside the object.The simulation results show the effectiveness of the proposed algorithm to enhance the practicability of the climbing robot,and the constructed path is optimal.

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