首页|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)
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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NETL
NSTL
Elsevier
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.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsSouth China Unive rsity of Technology
NETL
NSTL
Elsevier
