A Comprehensive Review on Motion Planning of Bi-differential Wheeled Robots in Cluttered Environment Using Various Artificial Intelligent Techniques

Animesh Chhotray, D. Parhi, P. Kumar, P. Behera
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Abstract

Robotic Mobility in dynamic environments has gained popularity among many researchers over past few years. The environment where human beings perform their normal operations includes narrow spaces, sharp turns, slopes and steps. In addition, some times the field of operation may be found to be chemically hazardous, radioactive or reconnaissance in nature. It is not quite easy to develop intelligent robots with very precise mechanism suitable for specific navigational purposes. The balancing on two wheels and spin on the spot ability with smaller footprints of the bi-differential wheeled mobile robots distinguish them from other multi-wheel counterparts. In this paper some of the basic literatures regarding the motion planning of mobile robots are discussed using different artificial intelligence techniques. The robots can able to reach a respective goal positions by successfully avoiding the intermediate collisions among themselves and with the obstacles using these techniques as control scheme.
基于各种人工智能技术的双差动轮式机器人在混乱环境中的运动规划研究综述
在过去的几年里,机器人在动态环境中的移动受到了许多研究者的关注。人类进行正常活动的环境包括狭窄的空间、急转弯、斜坡和台阶。此外,有时可能发现作业领域具有化学危险、放射性或侦察性质。开发具有非常精确的机构,适合于特定导航目的的智能机器人并不容易。双差速器轮式移动机器人具有两轮平衡和原地旋转能力,占地面积小,与其他多轮移动机器人相比具有明显的优势。本文讨论了利用不同的人工智能技术进行移动机器人运动规划的一些基本文献。利用这些技术作为控制方案,机器人能够成功地避免它们之间和与障碍物的中间碰撞,从而达到各自的目标位置。
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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