Robotics & Machine Learning Daily News2024,Issue(Dec.13) :97-98.

Findings from Hong Kong University of Science and Technology Update Knowledge of Robotics (Magnetic Wall-climbing Wheels With Controllable Adhesion Reduction Vi a Soft Magnetic Material)

Robotics & Machine Learning Daily News2024,Issue(Dec.13) :97-98.

Findings from Hong Kong University of Science and Technology Update Knowledge of Robotics (Magnetic Wall-climbing Wheels With Controllable Adhesion Reduction Vi a Soft Magnetic Material)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originatingin Guangzhou, People’s Republic of Ch ina, by NewsRx journalists, research stated, “With the aging ofcritical infrast ructure like bridges and plant facilities, the development of innovative wall-cl imbing robotsusing permanent magnets has become increasingly important. Traditi onal designs of such robots dependon controlling the position of lifters or per manent magnets to control the adhesion condition, whichintroduces significant s afety concerns, including inconsistent adhesion during surface transitions and t herisk of falls when control is lost.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Risk and Prevention/R obot/Robotics/Hong Kong University of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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