Cognitive Robotics (Dagstuhl Seminar 22391)

Authors Fredrik Heintz, Gerhard Lakemeyer, Sheila McIlraith and all authors of the abstracts in this report

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Author Details

Fredrik Heintz
  • Linköping University, SE
Gerhard Lakemeyer
  • RWTH Aachen University, DE
Sheila McIlraith
  • University of Toronto, CA
and all authors of the abstracts in this report

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Fredrik Heintz, Gerhard Lakemeyer, and Sheila McIlraith. Cognitive Robotics (Dagstuhl Seminar 22391). In Dagstuhl Reports, Volume 12, Issue 9, pp. 200-219, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


This report documents the program and the outcomes of Dagstuhl Seminar 22391 on the topic of "Cognitive Robotics". Cognitive Robotics is concerned with endowing robots or software agents with higher level cognitive functions that involve reasoning, for example, about goals, perception, actions, the mental states of other agents, and collaborative task execution. The seminar is the latest event in a series of events on this topic that were initiated in 1998. With its roots in knowledge representation and reasoning, the program for this seminar was influenced by transformative advances in machine learning and deep learning, by recent advances in human-robot interactions, and by issues that arise in the development of trustworthy cognitive robotic systems. Reflective of this, the seminar featured sessions devoted to the following four themes: cognitive robotics and KR, verification of cognitive robots, human-robot interaction and robot ethics, and planning and learning. Each theme consisted of plenary talks, plenary discussions and working groups resulting in a research road map for the coming years. There was also a poster session where new or published results could be presented by the participants. The seminar was very successful and well received by the participants thanks to the excellent environment for exchanging ideas provided by Schloss Dagstuhl.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Cognitive robotics
  • Computing methodologies → Planning and scheduling
  • Computing methodologies → Machine learning
  • Human-centered computing → Human computer interaction (HCI)
  • Computer systems organization → Robotics
  • Artificial Intelligence
  • Knowledge Representation and Reasoning
  • Cognitive Robotics
  • Verification
  • Human-robot Interaction
  • Robot Ethics
  • Machine Learning
  • Planning


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