A triangle decomposition method for the mobility control of mecanum wheel-based robots

Kouame Yann Olivier Akansie, Rajashekhar C. Biradar, R. Karthik, Geetha D. Devanagavi
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Abstract

Mobile robots are used in a variety of applications including research, education, healthcare, customer service, security and so on. Based upon the application, the robots employ different locomotion systems for their mobility. When it comes to rolling locomotion, the wheels used to provide mobility to robots can be categorized as: tracks, omnidirectional wheels, and unidirectional wheels with a steering system. The ability of omnidirectional wheels to drive machines in small spaces makes them interesting to use. Among the types of omnidirectional wheels, mecanum wheels are widely used due to their inherent benefits. With the right control strategy, robots equipped with mecanum wheels can move freely, in all possible directions. In this study, a triangle decomposition approach is employed for controlling omnidirectional mecanum wheel-based robots. The method consists of breaking down any path into a set of linear motions that can be horizontal, vertical, or oblique. Furthermore, the oblique paths are divided into smaller segments that can be resolved into a horizontal and vertical component in a right-angle triangle. The suggested control method is tested and proved on a simple scenario using Webots simulation software.
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用于轮式机械手移动控制的三角形分解法
移动机器人应用广泛,包括研究、教育、医疗保健、客户服务、安保等。根据不同的应用,机器人采用不同的运动系统来实现移动。就滚动运动而言,用于为机器人提供移动能力的轮子可分为:履带、全向轮和带有转向系统的单向轮。全向轮能够在狭小的空间内驱动机器,因此使用起来非常有趣。在各种全向轮中,麦卡农轮因其固有的优点而被广泛使用。只要控制策略得当,装有麦卡农轮子的机器人就能在所有可能的方向上自由移动。在这项研究中,采用了一种三角形分解方法来控制基于麦柯纳姆轮的全向机器人。该方法包括将任何路径分解为一组线性运动,这些运动可以是水平、垂直或倾斜的。此外,斜向路径还被划分为更小的段落,这些段落可以分解为直角三角形中的水平和垂直分量。建议的控制方法通过 Webots 仿真软件在一个简单的场景中进行了测试和验证。
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