Research Topics

• Probabilistic Model Fitting

• Intelligent Perception

• Semantic Mapping

• 3D Geometric Reasoning

• Automatic Model Inference

• Multimodal 3D Localization

• Laser Segmentation

Current Research Projects

• EnvMod: We focus on point cloud based representation and reasoning techniques for building accurate and meaningful 3D maps for mobile robots in both indoor and outdoor environments. One of our main application and deployment scenario is the Assistive Kitchen. However, all our methods were carefully crafted with generality in mind, therefore they have been also successfully applied to outdoor urban, aerial, and underwater datasets.

• CoP: The project aims at the unification of vision-based sensing in the CoP (Cognitive Perception) in the learning and planning system. On the one hand, CoP manages the interpretation of different kinds of sensors and on the other hand it automatically acquires and maintains the knowledge about the world and objects in the world. CoP selects sensors and sensor interpretation algorithms based on their expected utility. To this end, CoP learns and improves intersensor and inter-algorithmic models for method seleciton from experience. Especially the vision system, the major sensor we use, provides several automatic model improving techniques. Improved models accelerate the perception process and provide more robust results.

The old webpage of our research thread can be found here to get a general impression. We are currently in a transition period, but will upload our latest results as soon as possible. In the mean time feel free to contact us!