Robotics & Machine Learning Daily News2024,Issue(Apr.8) :103-103.

Studies Conducted at Changchun University of Science and Technology on Robotics Recently Published (Enhanced Tracking in Legged Robots through Model Reduction and Hybrid Control Techniques: Addressing Disturbances, Delays, and Saturation)

Robotics & Machine Learning Daily News2024,Issue(Apr.8) :103-103.

Studies Conducted at Changchun University of Science and Technology on Robotics Recently Published (Enhanced Tracking in Legged Robots through Model Reduction and Hybrid Control Techniques: Addressing Disturbances, Delays, and Saturation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on robotics. Acc ording to news reporting from Changchun,People’s Republic of China, by NewsRx j ournalists, research stated, “This study introduces a reducedorderleg dynamic model to simplify the controller design and enhance robustness. The proposed mul ti-loopcontrol scheme tackles tracking control issues in legged robots, includi ng joint angle and contact-forceregulation, disturbance suppression, measuremen t delay, and motor saturation avoidance.”

Key words

Changchun University of Science and Tech nology/Changchun/People’s Republic of China/Asia/Emerging Technologies/Mach ine Learning/Mathematics/Nano-robot/Numerical Modeling/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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