控制重构
模块化设计
运动规划
运动学
适应性
机器人
计算机科学
运动(物理)
自重构模块化机器人
控制工程
模拟
工程类
人工智能
移动机器人
机器人控制
嵌入式系统
操作系统
生态学
物理
经典力学
生物
作者
Ning Zhao,Sikai Zhao,Tianjiao Zheng,Jian Qi,Zhiyuan Yang,Xin Sui,Kai Han,Hang Luo,Nan Zhou,Jie Zhao,Yanhe Zhu
出处
期刊:Biomimetics
[MDPI AG]
日期:2025-05-06
卷期号:10 (5): 293-293
标识
DOI:10.3390/biomimetics10050293
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI