Research Focus

The focus of our research lies on robots acting in human environments. First, we investigate the interaction between robots and non-expert users and aim at designing intuitive programming interfaces. Second, we are especially interested in humanoid robot navigation in complex indoor environments. Accordingly, we develop techniques for humanoid robots navigating in multi-level and multi-room indoor environments that contain articulated and movable objects. We develop probabilistic methods for 3D environment modeling as well as for manipulation and navigation. This work is carried out within the SFB/TR8 Spatial Cognition funded by the German Research Foundation and the project First-MM funded by the EU.

As part of the research training group on Embedded Microsystems funded by the German Research Foundation, we put special emphasis on the efficiency of the developed solutions so that they can be applied on systems with limited resources, which can only carry light-weight sensors and computers.

Research Topics

  Imitation of Human Whole-Body Motions
  Autonomous Climbing of Spiral Staircases
  Efficient Vision-based Obstacle Avoidance
  Efficient Path Planning for Humanoids
  6D Robot Localization in Complex Indoor Environments
  Learning Reliable and Efficient Navigation with a Humanoid
  Metric Localization with Scale-Invariant Visual Features using Monocular Vision
  Learning Efficient Policies for Vision-based Navigation
  Robust Recognition of Complex, Parameterized Gestures
  Multimodal Interaction between a Humanoid Robot and Humans
  Utilizing Learned Motion Patterns to Predict Positions of People
  Adapting Navigation Strategies Using Motion Patterns of People
  Learning Motion Patterns of People
  Prioritized Multi-robot Path Planning