Research Findings from Donghua University Update Understanding of Robotics (Impe dance Learning-Based Hybrid Adaptive Control of Upper Limb Rehabilitation Robots )
Research Findings from Donghua University Update Understanding of Robotics (Impe dance Learning-Based Hybrid Adaptive Control of Upper Limb Rehabilitation Robots )
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting from Shanghai, People’s Republic of Chi na, by NewsRx journalists, research stated, “This paper presents a hybrid adapti ve control strategy for upper limb rehabilitation robots using impedance learnin g.” Funders for this research include National Natural Science Foundation of China. Our news correspondents obtained a quote from the research from Donghua Universi ty: “The hybrid adaptation consists of a differential updating mechanism for the estimation of robotic modeling uncertainties and periodic adaptations for the o nline learning of time-varying impedance. The proposed hybrid adaptive controlle r guarantees asymptotical control stability and achieves variable impedance regu lation for robots without interaction force measurements. According to Lyapunov’ s theory, we proved that the proposed impedance learning controller guarantees t he convergence of tracking errors and ensures the boundedness of the estimation errors of robotic uncertainties and impedance profiles.”
Key words
Donghua University/Shanghai/People’s R epublic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Rob ot/Robotics/Robots
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