Robotics & Machine Learning Daily News2024,Issue(Jul.8) :16-17.

Studies from Zhejiang University of Technology Add New Findings in the Area of R obotics (Non-parametric Gaussian Process Movement Primitive With Via-point Const raint for Effective and Safe Robot Skill Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :16-17.

Studies from Zhejiang University of Technology Add New Findings in the Area of R obotics (Non-parametric Gaussian Process Movement Primitive With Via-point Const raint for Effective and Safe Robot Skill Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting fromHangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Learning from demonstration(LFD) algor ithms has been proven to be an effective way to encode basic human skills, such asprobabilistic movement primitives (ProMPs). However, such algorithms are base d on parametric methods,which means that more effort is required to expand to m ulti -dimensional and high reproduction accuracy.”Funders for this research include Natural Science Foundation of Zhejiang Provinc e, National NaturalScience Foundation of China (NSFC).

Key words

Hangzhou/People’s Republic of China/As ia/Emerging Technologies/Gaussian Processes/Machine Learning/Robot/Robotics/Zhejiang University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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