Robotics & Machine Learning Daily News2024,Issue(Oct.7) :158-158.

Reports Summarize Robotics Study Results from Beijing Institute of Technology (H igh-performance Foot Trajectory Tracking Control of Hydraulic Legged Robots Base d On Fixed-time Disturbance Observers)

Robotics & Machine Learning Daily News2024,Issue(Oct.7) :158-158.

Reports Summarize Robotics Study Results from Beijing Institute of Technology (H igh-performance Foot Trajectory Tracking Control of Hydraulic Legged Robots Base d On Fixed-time Disturbance Observers)

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Abstract

Researchers detail new data in Robotic s. According to news reporting originating in Beijing, People's Republic of Chin a, by NewsRx journalists, research stated, "PurposeThere are various uncertain a nd nonlinear problems in hydraulic legged robot systems, including parameter unc ertainty, unmodeled dynamics and external disturbances. This study aims to elimi nate uncertainties and improve the foot trajectory tracking control performance of hydraulic legged robots, a high-performance foot trajectory tracking control method based on fixed-time disturbance observers for hydraulic legged robots is the robot leg mechanical system model and hydraulic system model of the hydrau lic legged robot are established." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Collective Intelligence and Collaboration boratory Open Fund Project.

Key words

Beijing/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Beijing Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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