This technology utilizes FEM analysis to strategically place strain gauges within a Maltese cross-shaped sensor frame. It measures deformations caused by loads during object gripping to calculate 3-DOF (Fz, Tz, Tx) force/torque data. The collected signals are processed via a data acquisition board using decoupling algorithms to compensate for physical cross-talk, ensuring precise measurements.
Conventional grippers are typically limited to simple compression force measurement, making it difficult to precisely measure force and torque at the tool-tip contact surface. Furthermore, tactile sensors often suffer from slow response times, rendering them unsuitable for high-speed repetitive tasks. Additionally, attaching individual sensors to multi-fingered robotic hands leads to complex structural and control requirements.
This technology integrates a Maltese cross-shaped sensor frame with strain gauges for deformation measurement and utilizes an integrated wiring board to achieve a compact design. Analog signals acquired from the optimally placed strain gauges (via FEM analysis) are processed by a data acquisition board, which uses a decoupling matrix to separate and convert them into digital force/torque data for each axis. Applicable to robotic gripping, precision measurement, and automated equipment, this solution enhances the accuracy and response rate of force and torque measurement in robotic grippers.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of safety modules with a maximum output range of 150Nm and force-torque/joint sensor technology for dual-arm collaborative robots.
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