Torque Sensor

Torque sensors measure rotational forces, crucial for applications ranging from robotic manipulation and exoskeleton control to haptic feedback devices. Current research emphasizes developing low-cost, compact sensors using diverse sensing modalities like Hall-effect sensors, LEDs, and even visual estimations from external cameras, often coupled with machine learning techniques such as neural networks and Kalman filtering for improved accuracy and robustness. These advancements are driving progress in areas like human-robot interaction, precise robotic control, and personalized assistive technologies by enabling more sophisticated force and torque estimation and control even in the absence of dedicated sensors.