Special Session: KR And Robotics

The key problems in robot capability yet to be solved are those of generalizable knowledge representation and of cognition based on that representation. How can computer memories represent knowledge to be retrieved by memory-based methods so that similar but not identical situations will call up the appropriate memories and thoughts?

As Gill Pratt suggests, knowledge representation is a key towards equipping robots with true cognition skills. In this special session, we invite contributions that extend the state of the art at the intersection of knowledge representation and robotics. We especially encourage contributions in integrated and interactive systems (e.g., systems that sense and reason), and contributions that include evaluations on physical robots (single or multiple).

Papers are solicited in all areas, including, but not limited to, one or more of the following:

• Knowledge representation and reasoning (KR) for Robotic Cognition
• Grounding knowledge in sense-plan-act loop
• Belief merging, information fusion for robotics
• KR for Autonomous Robot Architectures
• KR for Robotic Navigation and Manipulation
• KR for semantic maps
• Ontologies, and ontological representations for robotics
• Robotics and the Semantic Web
• Qualitative reasoning, and reasoning about physical systems for robotics
• KR for Human Robot Interaction and Communication
• KR for plan/intention recognition
• KR for human-robot dialogue planning and understanding
• Reasoning about knowledge, beliefs, and other mental attitudes of robots/humans
• Commonsense reasoning for robotics
• KR for Robotic Planning
• KR for Hybrid Reasoning (over discrete/continuous spaces)
• Combining logical/probabilistic, qualitative/quantitative representations/reasoning methods
• Geometric, spatial, and temporal reasoning for robotics
• Action languages for robotics applications
• Reasoning about actions and change in robotic domains
• Reasoning about actions connected to Control Theory
• KR for Robot Plan Execution and Monitoring
• Belief revision and update for robotics
• Explanation finding, diagnosis, causal reasoning, abduction for robotics
• Stream reasoning for robotics
• KR for Multi-Robot Systems
• KR for task allocation for robots, coordination of robots
• Combining KR in the lab and Robotic applications
• KR for Service Robotics
• KR for Cognitive Factories
• KR for Warehouse Robots
• KR for Autonomous Vehicles
• Computational aspects of knowledge representation and reasoning in robotics applications

Information for Authors

The Special Session on KR & Robotics will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines detailed in the submission page .

The special session emphasizes KR & Robotics, and welcomes contributions that extend the state of the art at the intersection of KR & Robotics. Therefore, KR-only or Robotics-only submissions will not be accepted for evaluation in this special session.

Submissions will be rigorously peer reviewed by PC members, who are active in KR & Robotics. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art.

Chairs

Michael Beetz (University of Bremen, Germany)
Friedrik Heintz (Linköping University, Sweden)