Robotics & Machine Learning Daily News2024,Issue(Feb.20) :5-5.DOI:10.1007/s12555-022-0436-6

Study Data from Hebei University of Technology Provide New Insights into Robotics (A Learning Control Strategy for Robot- assisted Bathing Via Impedance Sliding Mode Technique With Non- repetitive Tasks)

Robotics & Machine Learning Daily News2024,Issue(Feb.20) :5-5.DOI:10.1007/s12555-022-0436-6

Study Data from Hebei University of Technology Provide New Insights into Robotics (A Learning Control Strategy for Robot- assisted Bathing Via Impedance Sliding Mode Technique With Non- repetitive Tasks)

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Abstract

2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Robotics. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “This paper investigates an impedance-based iterative learning sliding mode control scheme for robot-assisted bathing, taking into consideration scenarios with unknown model parameters. Initially, the utilization of impedance control is not confined to merely adjusting the desired trajectory but is also instrumental in ensuring active compliance control during the robot-assisted bathing procedure.” Funders for this research include National Key R&D Program of China, Hebei Province Special research and development plan project.

Key words

Tianjin/People’s Republic of China/Asia/Emerging Technolo- gies/Machine Learning/Robot/Robotics/Hebei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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