• Klajd Lika

What is a force torque sensor?

Updated: Apr 2

SensONE force torqu sensor in action

A robotic force torque sensor is a device that measures force and torque when they are applied. Through this a signal is created, measured, recorded, and used as a feedback signal in human-robot interaction. The most widely used sensor in robotics is a 6-axis force torque sensor where 3 forces and 3 torques can be measured.

Force torque sensors are currently used in a wide range of industries and applications, most commonly in collaborative robots. The most common applications are polishing, assembly, grinding, quality testing, and robot-assisted surgery. In applications such as these, the force torque sensor is attached between the robot and the end-of-arm-tooling.

force torque sensor on a collaborative robot with EOAT gripper

In the 6-axis force torque sensor video below you can see a SensONE sensor in action.

Force Torque Technology

Static and dynamic force torque measurement devices measure strain induced from applied forces/torques using resistive, capacitive, and optical technologies. Among these, the most reliable and predictable measurements are resistive strain gauges. When compared to other technologies, these gauges are very effective when working with steel, aluminium, or titanium.

Bota Systems sensors are manufactured with special aluminium alloy that sustains long-term stability of elasticity and high-yield strength. Our force torque sensors are also heat-treated to mitigate creep for long-term, reliable measurements.

To avoid accumulated errors that cannot be resolved with software, we minimize hardware nonlinearities. Temperature and gain offset compensation, ratiometric voltage conversion, symmetrical loading, EMI shielding, parasitic capacitance, and inductance compensation are utilized to minimize errors and maximize the signal-to-noise ratio.

The Future of Force Torque Sensing

We expect that advances in AI will give a boost for Bota Systems sensors. Contact detection, terrain classification, object recognition, robust grasping are only some of the outcomes that are expected from using our sensors with AI.