A Constrained Path Following Method for Snake-like Manipulators via Controlled Winding Uncoiling Strategy
Mingrui, Luo1,2; Yunong, Tian1,2; Yinghua, Cao1,2; Minghao, Chen1,2; Yanfeng, Zhang1,2; En, Li1,2; Min, Tan2
2024
会议名称2024 IEEE International Conference on Robotics and Automation (ICRA 2024)
会议日期2024-5-13
会议地点Yokohama, Japan
摘要
Benefting from its hyper-redundant structure, the biomimetic snake-like manipulator retains its remarkable fexibility even within confned spaces. However, its motion planning and control pose signifcant challenges. This paper imitates the winding uncoiling behavior of snakes to achieve controllable constrained path following. Firstly, based on control points, a recursive computational model and an equivalent planning angle model are established, enabling effcient and analytical determination of joint positions, collision regions, and motion parameters during the path following. Subsequently, the sliding control point algorithm and motion smoothing restriction algorithm are designed. The former ensures that the remaining segments during following strictly remain within the collision free regions defned by the base and path controls, while the latter smooths the control parameters based on velocity and acceleration limitations. Finally, simulation and practical experiments demonstrate the feasibility of the proposed methods. The prototype that applied our method can reach targets and accomplish tasks, further validating the applicability of the snake-like manipulator.
收录类别EI
七大方向——子方向分类智能机器人
国重实验室规划方向分类高通过性仿生机器人
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/57114
专题中国科学院工业视觉智能装备工程实验室
通讯作者En, Li
作者单位1.the Engineering Laboratory of Industrial Vision and Intelligent Equipment Technology, Institute of Automation, Chinese Academy of Sciences
2.the School of Artifcial Intelligence, University of Chinese Academy of Sciences
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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GB/T 7714
Mingrui, Luo,Yunong, Tian,Yinghua, Cao,et al. A Constrained Path Following Method for Snake-like Manipulators via Controlled Winding Uncoiling Strategy[C],2024.
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