Robotics & Machine Learning Daily News2024,Issue(Feb.21) :28-28.DOI:10.3390/machines12020104

Researchers at Belgorod State Technological University Named after V.G. Shukhov Publish New Data on Robotics (Optimal Design of Lower Limb Rehabilitation System Based on Parallel and Serial Mechanisms)

Robotics & Machine Learning Daily News2024,Issue(Feb.21) :28-28.DOI:10.3390/machines12020104

Researchers at Belgorod State Technological University Named after V.G. Shukhov Publish New Data on Robotics (Optimal Design of Lower Limb Rehabilitation System Based on Parallel and Serial Mechanisms)

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Abstract

Fresh data on robotics are presented in a new report. According to news reporting out of Belgorod, Russia, by NewsRx editors, research stated, “This paper presents the structure and model of a hybrid modular structure of a robotic system for lower limb rehabilitation.” Funders for this research include State Assignment of Ministry of Science And Higher Education of The Russian Federation. The news correspondents obtained a quote from the research from Belgorod State Technological University Named after V.G. Shukhov: “It is made of two modules identical in structure, including an active 3-PRRR manipulator for moving the patient’s foot and a passive orthosis based on the RRR mechanism for supporting the lower limb. A mathematical model has been developed to describe the positions for the links of the active and passive mechanisms of two modules, as a function of the angles in the joints of the passive orthosis, considering constraints for attaching the active manipulators to the moving platform and their configurations. A method has been formulated for a parametric synthesis of the hybrid robotic system proposed with modular structure, taking into account the generated levels of parametric constraints depending on the ergonomic and manufacturability features.”

Key words

Belgorod State Technological University Named after V.G. Shukhov/Belgorod/Russia/Emerging Technologies/Machine Learning/Mathematics/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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