Research Statement
The insights obtained from the research at the intersection of machine learning and robotics will have a profound impact on the everyday life of all of us in the coming years and decades. By employing the cutting-edge machine learning methods, the robots and machines surrounding us will become more and more intelligent and autonomous. Besides household appliances and automobiles, this development will also affect the work at factories, where an increasing amount of labor will be transferred from workers to robots and machines. Especially in this area, the collaboration of humans with robots and the knowledge transfer from humans to robots are important challenges addressed by the ongoing and upcoming research. During my PhD studies, I want to focus my research on the pipeline of the transfer of skills from humans to robots, that encorporates the following questions:

• How to transfer movements from a human to the robot (tele-operation, kinesthetic teach-in)
• How to imitate the behaviour of a human (imitation learning)
• How to improve the skills taught by a human (reinforcement learning)

Current Position
Ph.D. student at the CLAS lab at TU Darmstadt
Topic: Machine Learning for Semi-Autonomous Manipulation of Objects
Supervisor: Prof. Dr. Gerhard Neumann
FB 20 : Informatik