A single-motor, two-finger gripper uses an LSTM network on motor current to estimate contact forces, achieving force-feedback control without a force sensor.
GL-Robot can grasp a coin with a thickness of 1.85mm in the parallel grasping mode and a cubic object with a length of 125mm in the enveloping grasping mode
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Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning
A single-motor, two-finger gripper uses an LSTM network on motor current to estimate contact forces, achieving force-feedback control without a force sensor.