2016
Assessment of Robotic Picking Operations Using a 6 Axis Force/Torque Sensor
RA-L 2016
This letter presents a novel architecture for evaluating the success of picking operations that are executed by industrial robots. It is formed by a cascade of machine learning algorithms (kNN and SVM) and uses information obtained by a 6 axis force/torque sensor and, if available, information from