Curriculum Vitae
Rudolf Lioutikov
| Research Interests |
|---|
| Robot learning | The human environment is highly dynamical. Manually programming robots for such an environment is infeasible, hence robots that are supposed to assist in our daily life need the ability to adapt to changing environments. |
| Human-Robot Interaction | Robots which are supposed to actively participate in our daily life, through assistance or service, will work in close proximity to or even collaborate with humans. These robots need to be safe around humans. Furthermore they need to react to humans and even anticipate their actions. |
| Motion Segmentation & Skill Libraries | Traditional programming of robots is expensive and occasionally infeasible. Learning from Demonstration offers a promising alternative, however demontrating each skill independetedly is very tme consuming and might not be very intuitive. The demontration of an entire task however is very natural. Motion Segmentation and allows the robot to extract the necessary skills into a library of skills. |
| Current Position |
|---|
| Since 2013 | Ph.D. student at Intelligent Autonous Systems Group |
| | Technische Universität Darmstadt, Germany |
| | Topic: Semi-autonomous learning in human-robot interactive manipulation tasks |
| | Supervisor: Prof. Dr. J. Peters. |
| | |
| Educational Background |
|---|
| 2008-2011 | Master of Science in Computer Science |
|---|
| | Technische Universität Darmstadt, Germany. |
| | Thesis: "Learning time-dependent feedback policies with model-based policy search" (2013). |
| | Supervisors: Gerhard Neumann, Jan Peters |
| 2006-2010 | Bachelor of Science in Computer Science |
|---|
| | Technische Universität Darmstadt, Germany. |
| | Thesis: "Porting ROS to Windows" (2008) . |
| | Supervisor: Thomas Lens. |
| | |
(:authorsearch lioutikov :)
| Reviewing |
|---|
| 2014 | International Conference on Intelligent Robots and Systems (IROS) 2014 |
