Robotics & Machine Learning Daily News2024,Issue(Feb.9) :41-42.DOI:10.1038/s41467-024-44993-x

Second Affiliated Hospital of Zhejiang University School of Medicine Reports Findings in Robotics (Bioinspired handheld time-share driven robot with expandable DoFs)

Robotics & Machine Learning Daily News2024,Issue(Feb.9) :41-42.DOI:10.1038/s41467-024-44993-x

Second Affiliated Hospital of Zhejiang University School of Medicine Reports Findings in Robotics (Bioinspired handheld time-share driven robot with expandable DoFs)

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Abstract

New research on Robotics is the subject of a report. According to news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Handheld robots offer accessible solutions with a short learning curve to enhance operator capabilities. However, their controllable degree-of-freedoms are limited due to scarce space for actuators.” Financial supporters for this research include National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province, State Key Laboratory of Fluid Power and Mechatronic Systems. Our news editors obtained a quote from the research from the Second Affiliated Hospital of Zhejiang University School of Medicine, “Inspired by muscle movements stimulated by nerves, we report a handheld time-share driven robot. It comprises several motion modules, all powered by a single motor. Shape memory alloy (SMA) wires, acting as ‘nerves’, connect to motion modules, enabling the selection of the activated module. The robot contains a 202-gram motor base and a 0.8 cm diameter manipulator comprised of sequentially linked bending modules (BM). The manipulator can be tailored in length and integrated with various instruments in situ, facilitating non-invasive access and high-dexterous operation at remote surgical sites. The applicability was demonstrated in clinical scenarios, where a surgeon held the robot to conduct transluminal experiments on a human stomach model and an ex vivo porcine stomach.”

Key words

Hangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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