Robotics & Machine Learning Daily News2024,Issue(Feb.21) :63-64.DOI:10.3390/act13020052

Researcher from University of Nottingham Describes Findings in Robotics (Unlocking the Potential of Cable-Driven Continuum Robots: A Comprehensive Review and Future Directions)

Robotics & Machine Learning Daily News2024,Issue(Feb.21) :63-64.DOI:10.3390/act13020052

Researcher from University of Nottingham Describes Findings in Robotics (Unlocking the Potential of Cable-Driven Continuum Robots: A Comprehensive Review and Future Directions)

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Abstract

Investigators publish new report on robotics. According to news originating from Ningbo, People’s Republic of China, by NewsRx correspondents, research stated, “Rigid robots have found wide-ranging applications in manufacturing automation, owing to their high loading capacity, high speed, and high precision.” Financial supporters for this research include National Natural Science Foundation of China; Zhejiang Provincial Key Research And Development Plan. Our news editors obtained a quote from the research from University of Nottingham: “Nevertheless, these robots typically feature joint-based drive mechanisms, possessing limited degrees of freedom (DOF), bulky structures, and low manipulability in confined spaces. In contrast, continuum robots, drawing inspiration from biological structures, exhibit characteristics such as high compliance, lightweight designs, and high adaptability to various environments. Among them, cable-driven continuum robots (CDCRs) driven by multiple cables offer advantages like higher dynamic response compared to pneumatic systems and increased working space and higher loading capacity compared to shape memory alloy (SMA) drives. However, CDCRs also exhibit some shortcomings, including complex motion, drive redundancy, challenging modeling, and control difficulties.”

Key words

University of Nottingham/Ningbo/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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