Robotics & Machine Learning Daily News2024,Issue(Jul.16) :102-103.

Findings from Sun Yat-sen University Broaden Understanding of Robotics (A Novel Teacher-student Hierarchical Approach for Learning Primitive Information)

Robotics & Machine Learning Daily News2024,Issue(Jul.16) :102-103.

Findings from Sun Yat-sen University Broaden Understanding of Robotics (A Novel Teacher-student Hierarchical Approach for Learning Primitive Information)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Robotics. According to news originating fromGuangzhou, People’s Republic of Chi na, by NewsRx correspondents, research stated, “In this study, wefocus on the c hallenge of robot motion generation, which is critical for improving the ability of robots toperform downstream tasks. To this end, inspired by the idea of var iational inference, we propose a novelteacher-student hierarchical approach for learning continuous primitive spaces to generate robot motions.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/Sun Yat-sen Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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