Design of a Bio-Inspired Stiffness Controllable Continuum Robot for Object Grasping and Moving

IF 5.3 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2025-02-03 DOI:10.1109/LRA.2025.3537871
Jun Zhang;Haoyun Chen;Yun Li;Xiaoyu Chu;Xiaodong Zhou;Aiguo Song
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Abstract

Continuum robots (CRs) possess better compliance than rigid manipulators. However, existing CRs suffer from difficulties in manipulating objects for the conflicting needs of high stiffness and flexibility. This letter proposes an elephant trunk-inspired CR for grasping and moving objects. The CR features a deformation mechanism based on coupling rigid discs and flexible elastic rods and a stiffness modulation mechanism (SMM) with a force amplification function. The SMM decouples the CR's stiffness adjustment from bending motion, achieving flexible control capabilities. The SMM uses a stiffness coding strategy (SCS) to adjust stiffness according to task requirements to improve grasp performance while maintaining flexibility. We established the robot's kinematics, friction, and coiling models, designed a control method to coil around and move objects, and simulated the robot's end position-pose space and object size-pose space. We designed a robot prototype and conducted various experiments. Results showed that the robot achieved free movement in randomly generated configurations, coiled around and moved various objects with a path deviation of less than 8.5%, increased stiffness to 206%, and increased grasp force by 31%, demonstrating its potential in real applications.
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仿生刚度可控连续体抓取机器人的设计
连续体机器人具有比刚性机械臂更好的顺应性。然而,由于高刚度和高柔韧性的矛盾需求,现有的cr在操纵对象方面存在困难。这封信提出了一个受大象鼻子启发的CR,用于抓取和移动物体。CR具有基于刚性盘和柔性弹性杆耦合的变形机构和具有力放大功能的刚度调制机构(SMM)。SMM将CR的刚度调整与弯曲运动解耦,实现灵活的控制能力。SMM采用刚度编码策略(刚度编码策略)根据任务要求调整刚度,在保持抓握灵活性的同时提高抓握性能。建立了机器人的运动学、摩擦和盘绕模型,设计了盘绕和移动物体的控制方法,仿真了机器人的末端位置-姿态空间和物体大小-姿态空间。我们设计了一个机器人原型,并进行了各种实验。结果表明,该机器人在随机生成的构型中实现了自由运动,缠绕和移动各种物体,路径偏差小于8.5%,刚度提高到206%,抓取力提高了31%,显示了其在实际应用中的潜力。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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