Robotics & Machine Learning Daily News2024,Issue(Sep.23) :78-79.

Zhejiang University Researchers Update Current Data on Robotics (An efficient gr asping shared control architecture for unpredictable and unspecified tasks)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :78-79.

Zhejiang University Researchers Update Current Data on Robotics (An efficient gr asping shared control architecture for unpredictable and unspecified tasks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news originating from Hangzhou, People’s Republic of Chin a, by NewsRx editors, the research stated, “Robot control in complex and unpredi ctable scenarios presents challenges such as adaptability, robustness, and human -robot interaction.”

Key words

Zhejiang University/Hangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotic s

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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