On the Calibration of Force/Torque Sensors in Robotics

04/12/2019
by   Fredrik Bagge Carlson, et al.
0

We present and analyze methods for the kinematic and kinetostatic calibration of, typically, wrist mounted force/torque sensors in robotics. The algorithms are based on matrix factorization and require no special equipment. The only requirement is the ability to reorient the sensor and to measure its orientation in a fixed coordinate system, such as through the forward kinematics of a robot manipulator, or using an external tracking system. We present methods to find the rotation matrix between the coordinate system of the sensor and that of the tool flange, the mass held by the force sensor at rest, the vector to the center of gravity of this mass and the gravitational acceleration vector.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/03/2018

Model Based In Situ Calibration with Temperature compensation of 6 axis Force Torque Sensors

It is well known that sensors using strain gauges have a potential depen...
research
02/26/2022

Watch Me Calibrate My Force-Sensing Shoes!

This letter presents a novel method for smaller-sized humanoid robots to...
research
09/09/2023

A Compact Optical Six-Axis Force/Torque Sensor for Legged Robots Using a Polymorphic Calibration Method

This paper presents a novel design for a compact, lightweight 6-axis for...
research
06/07/2022

Robot Self-Calibration Using Actuated 3D Sensors

Both, robot and hand-eye calibration haven been object to research for d...
research
01/31/2023

Fine Robotic Manipulation without Force/Torque Sensor

Force Sensing and Force Control are essential to many industrial applica...
research
05/18/2018

Robot self-calibration using multiple kinematic chains

Proper calibration is key for the performance of every robot. Pushed by ...
research
01/09/2020

Pivot calibration concept for sensor attached mobile c-arms

Medical augmented reality has been actively studied for decades and many...

Please sign up or login with your details

Forgot password? Click here to reset