Self-learning robots solve tasks with the help of an Ensenso 3D camera

Seen, stored, learned

Trying out different approaches is one of the classic learning methods. Success or failure decides which technique is adopted and thus learnt. This principle can be transferred to the world of robots.

At the Institute for Intelligent Process Automation and Robotics of the Karlsruhe Institute of Technology (KIT), the Robot Learning Group (ROLE) focuses on various aspects of machine learning. The scientists are investigating how robots learn to solve tasks by trying them out independently. An Ensenso N10 3D camera directly at the "head" of the robot provides the required image data.