首页|New Robotics Study Findings Recently Were Reported by Researchers at Hebei Unive rsity of Technology (Design and Characterization of Large-range 3-d Force Tactil e Sensor Based On Fe-ga Alloy)
New Robotics Study Findings Recently Were Reported by Researchers at Hebei Unive rsity of Technology (Design and Characterization of Large-range 3-d Force Tactil e Sensor Based On Fe-ga Alloy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating from Tianjin,People's Republic of China,by NewsRx correspondents,research stated,"Tactile sensors are among the essential components for human-robot interaction in robotics. The force appl ied to the robot hand is coupled with both normal force (in the z-direction) and shear force (in the x- and y-directions)." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news editors obtained a quote from the research from the Hebei University of Technology,"Additionally,the robot hand must withstand significant force whil e grasping the object. As a result,it is crucial to develop a sensor that can m easure a wide range of 3-D forces. This article proposes a tactile sensor for 3- D force based on Fe-Ga alloy and hyperelastic material polydimethylsiloxane (PDM S). The output voltage model of the Fe-Ga alloy sensing unit has been establishe d. The tunneling magnetoresistance sensor outputs a voltage signal that reflects changes in the magnetic field. We established a 3-D force simulation test platf orm to examine the static and dynamic characteristics of the sensor. The experim ental results indicate that the sensing unit's sensitivity is 310.15 mV/N betwee n 0-and 5-N range,and the experimental output voltage matches the calculated va lue. The sensor measured the normal force between 0-and 25-N range with a sensit ivity of 56.53 mV/N and the shear force between 0-and 12.5-N range with a sensit ivity of 50.82 mV/N. The sensor's response time and recovery time,which are les s than the human skin response time,are 40 and 42 ms,respectively."
TianjinPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsHebei University of Technology
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