Robotics & Machine Learning Daily News2024,Issue(Oct.18) :19-19.

Recent Findings from Anhui University Provides New Insights intoRobotics (High- linearity Capacitive 3-d Force-flexible Tactile SensorInspired By Mushroom Stru cture for Human Motion Monitoringand Robotic Gripping)

Robotics & Machine Learning Daily News2024,Issue(Oct.18) :19-19.

Recent Findings from Anhui University Provides New Insights intoRobotics (High- linearity Capacitive 3-d Force-flexible Tactile SensorInspired By Mushroom Stru cture for Human Motion Monitoringand Robotic Gripping)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Hefei, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“To improve th e grasping perception capability of robotic hands, this article explores the des ign of ahigh-linear 3-D force-flexible tactile sensor inspired by mushroom stru ctures.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Natural Science Foundation of Anhui Province, University Syn ergy Innovation Program of Anhui Province,Central Government Will Guide Local S pecial Funds for Scientific and Technological Development.Our news editors obtained a quote from the research from Anhui University, “Diff erent from traditional3-D force tactile sensor structures, this sensor adopts a novel biomimetic mushroom symmetrical structure,significantly enhancing the se nsor’s performance. Through theoretical calculations, finite element modeling(F EM) simulation, and dynamic/static experimental measurements, the experimental o utcomes indicatethat the sensor possesses a linearity coefficient of 0.965 acro ss the entire scale spectrum with a minimalhysteresis of merely 2.65% , coupled with a response time of 62 ms at a substantial pressure of 6.5 kPa.”

Key words

Hefei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Anhui University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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