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Our paper entitled “Experience-based Torque Estimation for an Industrial Robot” was accepted for the 2016 IEEE International Conference on Robotics and Automation (May 16-21, 2016) in Stockholm, Sweden. The paper addresses the problem of torque estimation using machine learning techniques when only low-quality sensors are available in the robot.