Force Torque Sensor

Force-torque sensors measure forces and torques applied to a robot's end-effector, providing crucial feedback for precise manipulation and interaction with the environment. Current research emphasizes using this feedback for improved control in diverse applications, including minimally invasive surgery, object placement, and granular material identification, often employing Kalman filters and machine learning techniques like LSTM networks for data processing and control. This sensor technology is vital for advancing robotics in areas requiring dexterity, robustness, and safe human-robot collaboration, enabling more sophisticated and reliable automation in various fields.