Robotics & Machine Learning Daily News2024,Issue(Sep.3) :108-108.

Zhengzhou University Reports Findings in Robotics (Event-triggered adaptive neur al prescribed performance admittance control for constrained robotic systems wit hout velocity measurements)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :108-108.

Zhengzhou University Reports Findings in Robotics (Event-triggered adaptive neur al prescribed performance admittance control for constrained robotic systems wit hout velocity measurements)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Zhengzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “In this paper,an event-tri ggered adaptive neural prescribed performance admittance control (ETANPPAC) sche me isproposed to control the constrained robotic systems without velocity senso rs. To ensure compliance duringhuman-robot interaction, the reference trajector y is obtained by reshaping the desired trajectory for therobotic systems based on the admittance relationship, where a saturation function is used to constrain thereference trajectory, avoiding excessive contact forces that could render t he trajectory inexecutable.”

Key words

Zhengzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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