首页|University of Engineering and Technology Lahore Researchers Provide New Study Fi ndings on Robotics (Efficiency, optimality, and selection in a rigid actuation s ystem with matching capabilities for an assistive robotic exoskeleton)

University of Engineering and Technology Lahore Researchers Provide New Study Fi ndings on Robotics (Efficiency, optimality, and selection in a rigid actuation s ystem with matching capabilities for an assistive robotic exoskeleton)

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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 originating from Faisalabad, Pakistan, by NewsRx correspondents, research stated, "Selecting the right actuator for a portable ex oskeleton involves a comprehensive evaluation of various design characteristics. " Our news correspondents obtained a quote from the research from University of En gineering and Technology Lahore: "In this study, we introduce a methodology for actuator selection based on specific tasks, enhancing the practical adoption of portable exoskeletons. By examining a range of candidate actuators designed for lower limb exoskeletons, our objective is to engineer a system that is both ligh tweight and power-efficient. These candidate actuators, developed by integrating diverse motors and transmission systems, were rigorously tested against defined tasks. Our methodology, applied to an assistive exoskeleton catered to the elde rly, showed its potential in tailoring an efficient system with matching capabil ities. The obtained results indicated that the ideal configuration achieved redu ctions in weight and power requirements by 35% and 80% , respectively." According to the news reporters, the research concluded: "The present research d elineates a strategic approach for actuator selection in portable exoskeletons, contributing to the evolution of high-performing assistive devices."

University of Engineering and Technology LahoreFaisalabadPakistanAsiaEmerging TechnologiesMachine LearningRo boticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)