Vision and forcetorque sensing for calibration of industrial robots

Presents an online calibration methodology for robot relative positioning inaccuracy. This methodology eliminates the need for timeconsuming offline calibrations relying on accurate models and complicated procedures. To realize this methodology, a vision system, a 3D forcetorque sensor, and control strategies involving Neural Networks NNs were incorporated with an industrial robot.