Robotics & Machine Learning Daily News2024,Issue(Sep.24) :29-30.

Data on Robotics Discussed by Researchers at University of Science and Technolog y Beijing (Adaptive Ec-gpr: a Hybrid Torque Prediction Model for Mobile Robots W ith Unknown Terrain Disturbances)

Robotics & Machine Learning Daily News2024,Issue(Sep.24) :29-30.

Data on Robotics Discussed by Researchers at University of Science and Technolog y Beijing (Adaptive Ec-gpr: a Hybrid Torque Prediction Model for Mobile Robots W ith Unknown Terrain Disturbances)

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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 reporting originating from Beijing, People’s Republi c of China, by NewsRx correspondents, research stated, “The accurate prediction of driving torque demand is essential for the development of motion controllers for mobile robots on complex terrains. This paper aims to propose a hybrid model of torque prediction, adaptive EC-GPR, for mobile robots to address the problem of estimating the required driving torque with unknown terrain disturbances.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robotics/University of Science and Technology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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