Modular Snake-like Robot Designed for On-Site Reconfiguration in Space Exploration.

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Ning Zhao, Sikai Zhao, Tianjiao Zheng, Jian Qi, Zhiyuan Yang, Xin Sui, Kai Han, Hang Luo, Nanlin Zhou, Jie Zhao, Yanhe Zhu
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引用次数: 0

Abstract

Research on modular robots for space exploration has primarily focused on reconfiguration, with limited attention given to the maneuverability in space environment, which is essential for harnessing the advantages of reconfiguration. In this paper, a modular snake-like robot (MSR) is designed, which is expected to emulate a snake to navigate complex environments and employ the reconfiguration capability for on-site shape-shifting. To this end, a snake-like motion analysis and planning method is proposed for MSR. Firstly, we explore the feasibility of utilizing modules in realizing snake-like motion, including functional compatibility and structural constraints. Secondly, we analyze the kinematics of MSR and design joint coordination motion schemes to meet the requirements of snake-like motion. Finally, a path planning method based on reinforcement learning is proposed, which fully considers the motion characteristics and the structural constraints. Through motion analysis and planning, a balance between environmental adaptability and versatility can be achieved. Simulations of comparisons and potential applications further demonstrate the significant advantages of MSR in space exploration.

用于空间探索现场重构的模块化蛇形机器人。
空间探索模块化机器人的研究主要集中在可重构上,对空间环境下的可操作性研究较少,而这对于发挥可重构的优势至关重要。本文设计了一种模块化蛇形机器人(MSR),该机器人有望模仿蛇在复杂环境中导航,并利用重构能力进行现场变形。为此,提出了一种蛇形运动分析与规划方法。首先,我们从功能兼容性和结构约束两个方面探讨了利用模块实现蛇形运动的可行性。其次,对其进行了运动学分析,设计了满足蛇形运动要求的关节协调运动方案;最后,提出了一种充分考虑运动特性和结构约束的基于强化学习的路径规划方法。通过运动分析和规划,可以实现环境适应性和多功能性之间的平衡。仿真比较和潜在应用进一步证明了MSR在空间探索中的显著优势。
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
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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