Robotics & Machine Learning Daily News2024,Issue(Oct.29) :43-43.

Data on Robotics Described by a Researcher at University of Science and Technology of China (Real-time reactive task allocation and planning of large heterogene ous multi-robot systems with temporal logic specifications)

Robotics & Machine Learning Daily News2024,Issue(Oct.29) :43-43.

Data on Robotics Described by a Researcher at University of Science and Technology of China (Real-time reactive task allocation and planning of large heterogene ous multi-robot systems with temporal logic specifications)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotics. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Existing methods for the task all ocation and planning (TAP) of multi-robot systems with temporal logic specificat ions mainly rely on optimization-based approaches or graph search techniques app lied to the product automaton.”

Key words

University of Science and Technology of China/Hefei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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