Robotics & Machine Learning Daily News2024,Issue(Sep.23) :53-53.

Research from National University of Defense Technology in the Area of Robotics Published (Auction-Based Behavior Tree Evolution for Heterogeneous Multi-Agent S ystems)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :53-53.

Research from National University of Defense Technology in the Area of Robotics Published (Auction-Based Behavior Tree Evolution for Heterogeneous Multi-Agent S ystems)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on robotics is the subject of a new report. According to news originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Collaboration in Multi-Agent System s (MASs) is crucial but challenging in robotics, especially in heterogeneous MAS s where robots have different capabilities.”

Key words

National University of Defense Technolog y/Changsha/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Nano-robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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