首页|Findings from Nankai University Broaden Understanding of Robotics and Automation (Design and Evaluation of a Lightweight, Ligaments-inspired Knee Exoskeleton fo r Walking Assistance)
Findings from Nankai University Broaden Understanding of Robotics and Automation (Design and Evaluation of a Lightweight, Ligaments-inspired Knee Exoskeleton fo r Walking Assistance)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics - Robotics and Automation. According to news reporting originating in Tia njin, People's Republic of China, by NewsRx journalists, research stated, "With proper assistance, knee exoskeletons can benefit humans with impaired leg functi on. Prior studies found that misalignment between the knee and the exoskeleton m ay cause harm and undermine assistance performance." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from Nankai University, "S elf-aligning mechanisms can reduce misalignment but implementing them with a sim ple and lightweight design remains a challenge. In this letter, we designed a li ghtweight (740 g) knee exoskeleton that can provide assistive torque for knee ex tension and flexion during walking. A compact elastic limiter was proposed to re duce misalignment using an integrated shock-absorbing slider. Drawing inspiratio n from the cruciate ligaments, springs were equipped to reduce the nonlinearitie s in the alignment process. With selected spring stiffness, preliminary pressure measurements between the frames and the human body showed the exoskeleton can r educe undesired interaction forces by 50.9% during walking assista nce. Preliminary experimental results demonstrated the exoskeleton can achieve h igh torque control performance and reduce quadriceps activities during multiple gaits. For example, the activities of the rectus femoris, vastus medialis, and v astus lateralis were reduced by an average of 23.8%, 44.0% , and 34.0%, respectively during 8(degrees) uphill walking."
TianjinPeople's Republic of ChinaAsi aRobotics and AutomationRoboticsNankai University
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