Robotics & Machine Learning Daily News2024,Issue(Feb.9) :93-93.

National University of Singapore Reports Findings in Robotics (An Amphibious Fully-Soft Centimeter-Scale Miniature Crawling Robot Powered by Electrohydraulic Fluid Kinetic Energy)

Robotics & Machine Learning Daily News2024,Issue(Feb.9) :93-93.

National University of Singapore Reports Findings in Robotics (An Amphibious Fully-Soft Centimeter-Scale Miniature Crawling Robot Powered by Electrohydraulic Fluid Kinetic Energy)

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Abstract

New research on Robotics is the subject of a report. According to news originating from Singapore, Singapore, by NewsRx correspondents, research stated, “Miniature locomotion robots with the ability to navigate confined environments show great promise for a wide range of tasks, including search and rescue operations. Soft miniature locomotion robots, as a burgeoning field, have attracted significant research interest due to their exceptional terrain adaptability and safety features.” Our news journalists obtained a quote from the research from the National University of Singapore, “Here, a fully-soft centimeter-scale miniature crawling robot directly powered by fluid kinetic energy generated by an electrohydraulic actuator is introduced. Through optimization of the operating voltage and design parameters, the average crawling velocity of the robot is dramatically enhanced, reaching 16 mm s. The optimized robot weighs 6.3 g and measures 5 cm in length, 5 cm in width, and 6 mm in height. By combining two robots in parallel, the robot can achieve a turning rate of 3° s. Additionally, by reconfiguring the distribution of electrodes in the electrohydraulic actuator, the robot can achieve 2 degrees-of-freedom translational motion, improving its maneuverability in narrow spaces. Finally, the use of a soft water-proof skin is demonstrated for underwater locomotion and actuation.”

Key words

Singapore/Singapore/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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