Motion planning for multiple obstacles avoidance of autonomous mobile robot using hierarchical fuzzy rules

T. Aoki, M. Matsuno, T. Suzuki, S. Okuma
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引用次数: 25

Abstract

This paper presents the motion planning for an autonomous mobile robot to move toward the goal avoiding multiple moving obstacles. The autonomous robot can control itself with both velocity and steering controls decided by the fuzzy algorithm. The algorithm has a hierarchical structure which consists of three levels involving fuzzy logic modules. In the lower level of the algorithm, the control inputs of velocity and steering are decided independently. In the middle level, the module called fuzzy balancer adjusts and combines these inputs in order not to conflict each other. In the upper level, the control input to the goal and multicontrol inputs for multiple obstacles are combined to achieve the desired motion. In this paper, we propose the algorithm of hierarchical fuzzy rules and show the simulation results.<>
基于层次模糊规则的自主移动机器人多障碍物避障运动规划
提出了一种自主移动机器人避开多个移动障碍物向目标移动的运动规划方法。由模糊算法确定的速度控制和转向控制都可以实现机器人的自我控制。该算法具有层次结构,由三层模糊逻辑模块组成。在算法的底层,速度和转向的控制输入是独立确定的。在中间层,称为模糊平衡器的模块调整和组合这些输入,以避免相互冲突。在上层,对目标的控制输入和对多个障碍物的多控制输入相结合,以实现期望的运动。本文提出了层次模糊规则算法,并给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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