A path planning method for a shape-shifting robot

Tonglin Liu, Chengdong Wu, Bin Li, Jinguo Liu
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Abstract

A shape-shifting robot, which named “AMOEBA-I”, has diverse configurations. The accessibility of the robot can be reinforced in the narrow space by changing the configurations. In this paper, a path planning method is presented corresponding to the unique reconfigurable ability of the robot. This method can automatically adjust the computational cost according to the distribution of obstacles in robot's surrounding environment and can automatically select the configuration according to the width of the narrow space. So the robot can reach the target quickly and safely, and the unique accessibility of the shape-shifting robot is fully displayed. The deadlock situation is effectively solved by using the method of the boundary following. It has been validated through simulation results that the robot can change its own configurations to perform the path planning according to the environmental variation. As a result, the length of the path has been reduced effectively.
一种变形机器人的路径规划方法
一个名为“阿米巴- i”的变形机器人,具有多种形态。通过改变结构,可以增强机器人在狭窄空间内的可达性。针对机器人独特的可重构性,提出了一种路径规划方法。该方法可以根据机器人周围环境中障碍物的分布情况自动调整计算成本,并根据狭窄空间的宽度自动选择配置。使机器人能够快速、安全地到达目标,充分展示了变形机器人独特的可达性。采用边界跟随的方法有效地解决了死锁问题。仿真结果验证了机器人可以根据环境变化改变自身的构型来进行路径规划。因此,有效地缩短了路径的长度。
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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