2019
DOI: 10.1016/j.mechatronics.2019.102265
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A novel reactive-type joint torque sensor with high torsional stiffness for robot applications

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Cited by 31 publications
(12 citation statements)
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“…A reactive type, strain joint tore sensor is proposed in a study by Min and his colleagues. This improves the safety performance in comparison to conventional torque sensors without increasing the volume of the joint module (Min et al , 2019). A neural network-based monitoring system was implemented and studied, which detected the operator position in the workspace.…”
Section: Methodsmentioning
confidence: 99%
“…A reactive type, strain joint tore sensor is proposed in a study by Min and his colleagues. This improves the safety performance in comparison to conventional torque sensors without increasing the volume of the joint module (Min et al , 2019). A neural network-based monitoring system was implemented and studied, which detected the operator position in the workspace.…”
Section: Methodsmentioning
confidence: 99%
“…Strain gauge sensors are the most used, due to their ease of access and low price, compared with other sensors. Torque is measured by converting a small amount of deformation caused by an external force into an electrical signal, such that collisions with the external environment can be detected using this principle [ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ]. According to the number of strain gauge sensors applied to the robot arm and their attachment positions, it is possible to detect a collision or reduce manufacturing cost, thereby controlling the sensing performance of external force.…”
Section: Introductionmentioning
confidence: 99%
“…Torque sensing and control can be improved by adding a strain gauge-based torque sensor at the load side [3,4]. Although the uncertainty of output dynamics and drivetrain friction can be minimized, extra space is required to accommodate the torque sensor and its related bridge circuit in order to minimize temperature-induced drift.…”
Section: Introductionmentioning
confidence: 99%