Robotics & Machine Learning Daily News2024,Issue(Oct.29) :42-42.

Studies from Beihang University Provide New Data on Robotics (Self-reconfigurable Hierarchical Frameworks for Formation Control of Robot Swarms)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :42-42.

Studies from Beihang University Provide New Data on Robotics (Self-reconfigurable Hierarchical Frameworks for Formation Control of Robot Swarms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Hierarchical fram eworks-a special class of directed frameworks with a layer-by-layer architecture -can be an effective mechanism to coordinate robot swarms. Their effectiveness w as recently demonstrated by the mergeable nervous systems paradigm (Mathews et a l., 2017), in which a robot swarm can switch dynamically between distributed and centralized control depending on the task, using self-organized hierarchical fr ameworks.”

Key words

Beijing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Beihang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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