Special Track: Commonsense Cognitive Robotics

Special track on:



Track chairs:

Mehul Bhatt 
University of Bremen

Michael Spranger
Sony Computer Science Laboratories
Tokyo, Japan


Humans, robots, and systems that act, and interact, are embedded in space, and this change is often the result of actions and events. Actions and events are a critical link to the external world, in a predictive as well as an explanatory sense: anticipations of spatial or perceivable reality conform to our commonsense knowledge of the effects of actions and events in the real world. Similarly, explanations of the perceived reality (e.g., by humans, robots, systems) also are established on the basis of apriori known or acquired commonsense laws. Methods and tools for integrated commonsense reasoning about space, actions and change are therefore of paradigmatic importance from the viewpoint of both theoretical as well as application-driven goals. 

Cognitively motivated high-level commonsense reasoning, action, control, and interaction capabilities for robotic systems typically pertains to everyday activities and problem solving. In this context, high-level commonsense reasoning, and associated cognitively inspired functional benchmarks promise to become a fundamental aspect of robotic cognitive assistance systems and technologies that will accompany us in daily personal and professional activities. Formal representational and computational methods for handling commonsense qualitative phenomena -- e.g., involving the perception of space, time, events, actions, change, causality, processes - will be at the heart of collaborative cognitive systems and assistive technologies aimed at high-level control of autonomous robotic systems.

The special track especially emphasizes and solicits research papers concerned with the development of systematic models, methods, and tools for commonsense and qualitative representation and reasoning that may be seamlessly integrated within robotics projects in particular, and large-scale artificial intelligence projects, cognitive (assistance) systems, industrial automation systems, and hybrid intelligent systems in general. Methods and perspectives at the interface of artificial intelligence and cognitive science are especially welcome.

Core topics and areas of interest include:

  • Commonsense Reasoning
  • Qualitative Reasoning
  • Language, Ontology, and Space 
  • Computational Models of Narrative
  • Spatial Cognition, Computation and Semantics
  • Computational Cognitive Systems
  • Mental model based theories of thinking and reasoning

In particular, we emphasize:

  • Reasoning about Space, Actions, and Change
  • Visuo-Spatial Representation and Reasoning
  • Geometric, and qualitative spatial reasoning
  • Qualitative abstractions of Motion, Shape, Visibility
  • Abductive Reasoning 
  • Integrated Symbolic and Probabilistic Representation and Reasoning
  • Qualitative Learning and Grounding
  • Temporal Reasoning
  • Epistemic Reasoning, Belief Revision
  • Functional Affordance Learning and Reasoning
  • Cognitive Vision
  • Mental Model Theory, and its Applications in Robotics


Mehul Bhatt
Cognitive Systems, and
Spatial Cognition Research Center (SFB/TR 8)
Department of Computer Science
University of Bremen, Germany

Michael Spranger
Sony Computer Science Laboratories
Tokyo, Japan


  • Anthony Cohn (University of Leeds, United Kingdom)
  • Hector J. Levesque (University of Toronto, Canada)
  • Luc Steels (Vrije Universiteit Brussels, Belgium)


  • Jean-Christophe Baillie (Aldebaran, France)
  • Nicola Bellotto (University of Lincoln, UK)
  • Esra Erdem (Sabanci University, Turkey)
  • Daniel Goehring (International Computer Science Institute, Berkeley, USA)
  • Alexander Ferrein (FH Aachen, Germany)
  • George Konidaris (MIT CSAIL, Cambridge MA, USA)
  • Maurice Pagnucco (University of New South Wales, Australia)
  • Daniele Nardi (Sapienza University of Rome, Italy)
  • Michael Thielscher (University of New South Wales, Australia)


All submission and publication guidelines announced for the PRICAI 2014 conference will be applicable for this special track.

Paper Submission: Papers submitted to the special session and the main conference will use the same submission system. Please choose “Commonsense Cognitive Robotics” special track / session as the applicable track. 

Publication: All papers submitted will be peer-reviewed using the same criteria of PRICAI-14. The accepted papers will be included in the conference proceedings of PRICAI-14, which will be published by Springer as a volume of LNAI series.

Important Dates: Please refer to applicable PRICAI 2014 Important Dates page for paper submission deadline, paper acceptance notification, camera-ready due date, etc.