Robotics & Machine Learning Daily News2024,Issue(Apr.1) :42-42.

Study Data from University of Shanghai for Science and Technology Update Underst anding of Robotics (Design and Optimization of a Novel Sagittal-plane Knee Exosk eleton With Remote-center-ofmotion Mechanism)

Robotics & Machine Learning Daily News2024,Issue(Apr.1) :42-42.

Study Data from University of Shanghai for Science and Technology Update Underst anding of Robotics (Design and Optimization of a Novel Sagittal-plane Knee Exosk eleton With Remote-center-ofmotion Mechanism)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating from Shanghai, People's R epublic of China, by NewsRx correspondents, research stated, "Powered exoskeleto n is a wearable robot that can provide power-assisted motion for the human body. One of the challenges in the exoskeleton research is how to improve its kinemat ic synergy." Our news editors obtained a quote from the research from the University of Shang hai for Science and Technology, "In this paper, a novel knee exoskeleton robot i s designed to improve the kinematic synergy between the exoskeleton and the huma n body. The novel exoskeleton adopts the sagittal-plane layout to reduce the bia s moment, and uses a remote-center-of-rotation mechanism to ensure the coinciden ce of the rotation centers of the exoskeleton and the human body. To analyze the influence of the interaction error on the performance of the exoskeleton, this paper proposes a human-exoskeleton fusion model based on the virtual equivalent parallel mechanism method, and parameterize the interaction error through virtua l kinematic chains. Finally, the assisting performance of the novel exoskeleton is analyzed and verified through simulation experiments, motion experiments, bod y motion experiments and human simulation experiments."

Key words

Shanghai/People's Republic of China/As ia/Emerging Technologies/Machine Learning/Robot/Robotics/University of Shan ghai for Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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