Abstract

This paper deals with a new technique for autonomous trajectory planning of mobile robots using a Novel Evolution Strategy (NES) algorithm. Two-dimensional trajectory planning problem of a point mobile robot among polygonal obstacles is formulated as a constrained time-optimal control problem considering motions of the robot. The polygonal obstacles are modeled as circles from the visibility concept. In contrast to traditional evolutionary representations, special representations of individuals and crossover operation are adopted for a potential evolutionary search. The effectiveness of the proposed technique is demonstrated by presenting asimulation result of the robot within a heavily obstacle environment.

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