一般线缆驱动连续机器人的建模、模拟和实验及其在三指抓手中的应用

IF 1.9 4区 计算机科学 Q3 ROBOTICS
Robotica Pub Date : 2024-04-30 DOI:10.1017/s0263574724000651
Soumya Kanti Mahapatra, Ashitava Ghosal
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引用次数: 0

摘要

本文讨论的是一般路由、预弯电缆驱动连续机器人(CCR)。CCR 由一根柔性主干组成,主干上连接着多个圆盘。电缆穿过圆盘上的孔,拉动时,柔性主干和 CCR 可根据其布线和主干配置获得不同的形状。研究表明,基于应变能最小化的优化方法可以很好地确定 CCR 的姿态和运动,并确定与外部物体的接触。从模型中获得的姿势、运动和接触情况与三维打印 CCR 的实验结果非常吻合。还提出了一种算法,用于生成 CCR 的预弯曲骨架,该骨架在驱动时可达到所需的形状。利用该算法,制造出了三个具有预弯曲骨干的三维打印 CCR,并用它们演示了一个可抓取球形物体(类似于触手的抓取)的顺应性抓手,以及另一个具有直骨干 CCR 的三指抓手,用于确定末端抓取的方形物体的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling, simulations and experiments with generally routed cable-driven continuum robots and their application to three-fingered grippers
This paper deals with generally routed, pre-bent cable-driven continuum robots (CCR). A CCR consists of a flexible backbone to which multiple disks are attached. Cables are passed through holes in the disk, and when pulled, the flexible backbone and the CCR can attain different shapes based on their routing and backbone configuration. An optimization-based approach, using minimization of strain energy, is shown to give good results for the pose and motion of the CCR and to determine contact with external objects. The pose, motion, and the contact obtained from the model are shown to match very well with experimental results obtained from a 3D-printed CCR. An algorithm is proposed to generate the pre-bent backbone for a CCR which on actuation can attain the desired shape. Using the algorithm, three 3D-printed CCRs with pre-bent backbones are fabricated and these are used to demonstrate a compliant gripper that can grip a spherical object similar to that done by tentacles, and another three-fingered gripper with straight backbone CCRs is used to orient a square object gripped at the end.
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来源期刊
Robotica
Robotica 工程技术-机器人学
CiteScore
4.50
自引率
22.20%
发文量
181
审稿时长
9.9 months
期刊介绍: Robotica is a forum for the multidisciplinary subject of robotics and encourages developments, applications and research in this important field of automation and robotics with regard to industry, health, education and economic and social aspects of relevance. Coverage includes activities in hostile environments, applications in the service and manufacturing industries, biological robotics, dynamics and kinematics involved in robot design and uses, on-line robots, robot task planning, rehabilitation robotics, sensory perception, software in the widest sense, particularly in respect of programming languages and links with CAD/CAM systems, telerobotics and various other areas. In addition, interest is focused on various Artificial Intelligence topics of theoretical and practical interest.
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