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Intelligent Autonomous Systems
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich



Dagstuhl Seminar: Probabilistic Methods for Perceiving, Learning and Reasoning about Everyday Activities

This seminar addresses a key technology for Ambient Assistive Living, where the goal is to achieve the prolonged independence of elderly and partially disabled people. This is a particularly pressing aspect of an aging society. Within this research field, the acquisition, learning and use of probabilistic models of everyday activities presents a key interdisciplinary challenge for researchers in artificial intelligence (in particular in probabilistic reasoning, machine learning, image understanding and knowledge representation), cognitive science and psychology, health care and robotics. Progress towards this challenge will have an enormous impact on

  • understanding the relationship between health, diseases, and motion;
  • assistive cognition and ambient assistive living;
  • building models of actions and movement control in cognitive psychology, sports, biomechanics and cognitive neuroscience;
  • commonsense knowledge for personal robot assistants; and
  • smarter computing environments.

The seminar is to establish an interdisciplinary research community by bringing together researchers from various fields that are all equally important to the challenging research endeavor of accurately modeling everyday activities.

The goal of the Dagstuhl seminar is to foster new research collaborations in the context of the general task of understanding human activities and applying learnt models of everyday activities in various ways.

The concrete goals are

  • the acquisition of appropriately represented observations of human activities that are suitable for informative analysis,
  • the learning of abstract, general, semantically grounded, probabilistic models of human activities which support accurate and scalable reasoning mechanisms,
  • the application of these models to human assistance systems, such as the medically inspired applications outlined above,
  • the transfer of the acquired knowledge about everyday activities to cognitive technical systems such as personal robots and smart computing environments.

The seminar will include short introductory position/research statements by each participant, a small number of overview talks on the respective research fields, working group discussions and plenary sessions.


  • Michael Beetz (TU München)
  • Tanzeem Choudhury (Dartmouth College - Hanover)
  • Fernando de la Torre (Carnegie Mellon University - Pittsburgh)
  • Dieter Fox (University of Washington - Seattle)
  • Andreas Krause (CalTech - Pasadena)
  • Anna Schubö (LMU München)

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