Robotics & Machine Learning Daily News2024,Issue(MAY.30) :60-60.

Data on Robotics Reported by Researchers at University of Lisbon (An Extended Mo ment-based Trajectory Accuracy Reliability Analysis Method of Robot Manipulators With Random and Interval Uncertainties)

Robotics & Machine Learning Daily News2024,Issue(MAY.30) :60-60.

Data on Robotics Reported by Researchers at University of Lisbon (An Extended Mo ment-based Trajectory Accuracy Reliability Analysis Method of Robot Manipulators With Random and Interval Uncertainties)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating in Lisbon, Portugal, by NewsRx j ournalists, research stated, "This paper proposes a novel trajectory accuracy re liability analysis method with random and interval variables to evaluate the imp act of mixed uncertainties on the motion performance of robot manipulators. To e ffectively and accurately solve the hybrid reliability model, the interval analy sis is first conducted on the positional error model established by differential kinematics, and a maximum positional error searching algorithm is developed bas ed on geometric transformation and cell enumeration." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Jiangxi Province.

Key words

Lisbon/Portugal/Europe/Emerging Techn ologies/Machine Learning/Robot/Robotics/University of Lisbon

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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