首页|Data on Robotics Described by Researchers at University of Science and Technology China (A Nonarray Soft Capacitive Tactile Sensor With Simultaneous Contact Force and Location Measurement for Intelligent Robotic Grippers)
Data on Robotics Described by Researchers at University of Science and Technology China (A Nonarray Soft Capacitive Tactile Sensor With Simultaneous Contact Force and Location Measurement for Intelligent Robotic Grippers)
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NETL
NSTL
IEEE
Investigators discuss new findings in Robotics. According to news reporting originating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Tactile sensing is essential for robotic manipulations and human-machine interactions. It is vital to provide contact location and force information between the robotic gripper and objects for safe and effective operation.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from the University of Science and Technology China, “Many existing tactile sensors deploy an array of sensing units for pressure mapping and contact location recognition. However, it is still challenging to utilize such array sensors in robotic grippers for real-world applications due to the complex wiring and electronics, high cost, and low reliability. In this work, we propose a nonarray soft tactile sensor (NA-STS) that utilizes two triangle textile electrodes and a rectangle electrode to form a pair of soft capacitive pressure sensors in a differential configuration along its length. The sum of the two capacitance variations represents the amplitude of the force, whereas the difference between them represents the contact location. A three-layer electrode, shielded soft tactile sensor with dimensions of 12 x 60 mm was fabricated, characterized, and calibrated for simultaneous contact force and location measurement. The results show that the sensor can detect the force as low as 2.1 mN, with a range over 25 N, and a maximum error of 2.5 mm for contact location detection. In addition, the key design parameters of the NA-STS were investigated. Finally, two NA-STSs were integrated into a robotic gripper and demonstrated for monitoring the contact force and location during the gripping of various objects.”
HefeiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobotsUniversity of Science and Technology China
NETL
NSTL
IEEE
