Universiti Malaysia Perlis Researcher Advances Knowledge in Robotics (Design Opt imization and Integrated Simulation Analysis of a Cable-Driven Ankle Rehabilitat ion Robot)
Universiti Malaysia Perlis Researcher Advances Knowledge in Robotics (Design Opt imization and Integrated Simulation Analysis of a Cable-Driven Ankle Rehabilitat ion Robot)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in robotic s. According to news reporting out of Kangar, Malaysia, by NewsRx editors, resea rch stated, "Sprained ankles are the most commonly diagnosed injury seen by heal thcare providers and are projected to account for up to 30% of spo rts medicine injuries, with lateral ankle sprain being the most common type." The news journalists obtained a quote from the research from Universiti Malaysia Perlis: "Ankle injuries necessarily involve motion assistance to regain mobilit y, but physiotherapists are typically able to provide rehabilitation only for on e patient at each session. Numerous robotic rehabilitation strategies have been proposed in recent years; however, most of the designs have some limitations suc h as requiring the patient to sit or stand still. Hence, this study aims to deve lop a conceptual design and simulation of a compact wearable robot in aiding ank le motion for rehabilitation and training purposes. The cable-driven parallel ar chitecture used in the construction of the cable-driven ankle rehabilitation rob ot allows for the exercise of the human ankle's range of motion (ROM) to be maxi mized. The morphological chart analysis was created to explore the possible solu tions to the design development for the ankle rehabilitation device, and the fin al design was decided using the Pugh method. A three-dimensional model of the pr oposed design was visualized in SolidWorks to analyze the inverse kinematics, tr ajectory simulation and cable length analysis."
Key words
Universiti Malaysia Perlis/Kangar/Mala ysia/Asia/Emerging Technologies/Machine Learning/Robot/Robotics
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