Collaborative Continuum Robots for Remote Engineering Operations

Author:

Ma NanORCID,Monk StephenORCID,Cheneler DavidORCID

Abstract

In situ repair and maintenance of high-value industrial equipment is critical if they are to maintain the ability to continue vital operations. Conventional single-arm continuum robots have been proven numerous times to be successful tools for use in repair operations. However, often more than one arm is needed to ensure successful operation within several scenarios; thus, the collaborative operation of multiple arms is required. Here, we present the design and operating principles of a dual-arm continuum robot system designed to perform critical tasks within industrial settings. Here, presented are the design principle of the robotic system, the optimization-based inverse kinematic calculation of the 6-DoF continuum arms, and the collaborative operation strategy. The collaborative principle and algorithms used have been evaluated by a set of experiments to demonstrate the ability of the system to perform in situ machining operations. With the developed prototype and controller, the average error between planned and real toolpaths can be within 2.5 mm.

Funder

EPSRC under the UK–Japan Civil Nuclear Research Programme, Phase 7

Publisher

MDPI AG

Subject

Molecular Medicine,Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biotechnology

Reference27 articles.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving the kinematic accuracy of a collaborative continuum robot by using flexure-hinges;Heliyon;2024-02

2. Comprehensive stiffness regulation on multi-section snake robot with considering the parasite motion and friction effects;Bioinspiration & Biomimetics;2023-12-07

3. PID-Based Remote Operated Control System for Continuum Robots;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02

4. Multiple-Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Contact Particle Filter and Kinetostatic Models;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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