Robotics & Machine Learning Daily News2024,Issue(Oct.22) :50-51.

Researchers’ Work from University of California Berkeley Focuses on Robotics (Fm b: a Functional Manipulation Benchmark for Generalizable Robotic Learning)

Robotics & Machine Learning Daily News2024,Issue(Oct.22) :50-51.

Researchers’ Work from University of California Berkeley Focuses on Robotics (Fm b: a Functional Manipulation Benchmark for Generalizable Robotic Learning)

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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 originating from Berkeley, California, by New sRx correspondents, research stated, “In this paper, we propose a realworld ben chmark for studying robotic learning in the context of functional manipulation: a robot needs to accomplish complex long-horizon behaviors by composing individu al manipulation skills in functionally relevant ways. The core design principles of our Functional Manipulation Benchmark (FMB) emphasize a harmonious balance b etween complexity and accessibility.”

Key words

Berkeley/California/United States/Nor th and Central America/Emerging Technologies/Machine Learning/Robotics/Robots/University of California Berkeley

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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