Robotics & Machine Learning Daily News2024,Issue(MAY.7) :35-35.

Studies from Northwestern Polytechnic University Reveal New Findings on Robotics (Stochastic Optimal Control for Robot Manipulation Skill Learning Under Time-va rying Uncertain Environment)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :35-35.

Studies from Northwestern Polytechnic University Reveal New Findings on Robotics (Stochastic Optimal Control for Robot Manipulation Skill Learning Under Time-va rying Uncertain Environment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “In this article, a novel stochastic optimal control method is developed for robot manipulator interacting with a tim e-varying uncertain environment. The unknown environment model is described as a nonlinear system with timevarying parameters as well as stochastic information , which is learned via the Gaussian process regression (GPR) method as the exter nal dynamics.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Xi’an/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Northwestern Polytech nic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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