Formulating the Unicycle on the Sphere Path Planning Problem as a Linear Time-Varying System

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Federico Thomas;Jaume Franch
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引用次数: 0

Abstract

The kinematics, dynamics, and control of a unicycle moving without slipping on a plane has been extensively studied in the literature of nonholonomic mechanical systems. However, since planar motion can be seen as a limiting case of the motion on a sphere, we focus our analysis on the more general spherical case. This article introduces a novel approach to path planning for a unicycle rolling on a sphere while satisfying the nonslipping constraint. Our method is based on a simple yet effective idea: first, we model the system as a linear time-varying dynamic system. Then, leveraging the fact that certain such systems can be integrated under specific algebraic conditions, we derive a closed-form expression for the control variables. This formulation includes three free parameters, which can be tuned to generate a path connecting any two configurations of the unicycle. Notably, our approach requires no prior knowledge of nonholonomic system analysis, making it accessible to a broader audience.
将球上独轮车路径规划问题表述为线性时变系统
在非完整机械系统的文献中,对独轮车在平面上无滑移运动的运动学、动力学和控制进行了广泛的研究。然而,由于平面运动可以看作是球面上运动的极限情况,我们将重点分析更一般的球面情况。本文介绍了一种新的单轮自行车在满足无滑移约束条件下在球面上滚动的路径规划方法。我们的方法基于一个简单而有效的思想:首先,我们将系统建模为一个线性时变动态系统。然后,利用某些这样的系统可以在特定代数条件下集成的事实,我们推导出控制变量的封闭形式表达式。该公式包括三个自由参数,可以调整以生成连接独轮车的任意两个配置的路径。值得注意的是,我们的方法不需要非完整系统分析的先验知识,使其能够被更广泛的受众所接受。
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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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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