Robotics & Machine Learning Daily News2024,Issue(Mar.18) :44-45.DOI:10.1016/j.eswa.2023.122003

Recent Research from South China University of Technology Highlight Findings in Robotics (A Robust Electromyography Signalsbased Interaction Interface for Huma n-robot Collaboration In 3d Operation Scenarios)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :44-45.DOI:10.1016/j.eswa.2023.122003

Recent Research from South China University of Technology Highlight Findings in Robotics (A Robust Electromyography Signalsbased Interaction Interface for Huma n-robot Collaboration In 3d Operation Scenarios)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “At present, the serious challenge of h uman-robot collaboration is how to establish an interaction interface with multi -directional interactivity and robustness. This paper applies surface electromyo graphy (sEMG) signals as the interface medium, and proposes a robust 3D arm stre ngth estimation model based on hybrid deep learning networks (R3DNet) to build a stable interaction interface and achieve reliable human-robot collaboration per formance in 3D operation scenarios.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/South China Unive rsity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量35
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