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Key Research Areas

Perception and Interpretation

with focus on multi-sensor detection and information fusion for:

  • object- und environment detection and interpretation
  • detection of user and behaviour
  • adaptive modelling of environment and user

Understanding and Decision

with focus on probabilistic methods for:

  • estimation of object/user behaviour and intention
  • situation awareness and prediction
  • behaviour and action decision and planing
  • shared autonomy - cooperation with user

Learning Systems

with focus on realisation and application of machine learning methods for reliable, efficient and (inter-) active learning robots.

Systems, Evaluation and Validation

In addition to the development of methods we focus on the systemic realisation but also on analytical and empirical evaluation and validation of cognitive, technical systems under real conditions.