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Call for Papers

Mobile autonomous robots can perform complex tasks in unstructured and dynamic environments. Advances in autonomous mobile robotics over the last decade have been extraordinary, and the potential for future scientific breakthroughs and applications is breathtaking. However, a number of bottlenecks to future advancement have been identified such as building cognitive robots that are aware of what they are doing, and that can adapt to changing conditions and requirements.

This workshop seeks to move the research frontier by focusing on the scientific bottlenecks, namely equipping robots with more knowledge about internal representations and the external world, as well as developing an awareness of oneself and others.

This workshop aims at soliciting research ideas and results from practical research on implementing knowledge representation and high-level reasoning into mobile autonomous robots. Papers on autonomous robots in general are all welcome, but the following areas are highly encouraged,

  • Grounding representations to sensorimotor experiences
  • Integrating knowledge representation into behaviour based robots
  • Inter-robot and human-robot interaction and communication
  • Inter-robot and human-robot cooperation and collaboration
  • Robot self-awareness: How to build robots that know what they are doing
  • Semantic Web or agent applications for robots
  • Cognitive Robotics
  • Robot world modelling
  • Robot perception
  • Robot planning
  • Autonomous Multi-robot exploration, navigation and collaboration
  • Intelligent robotic applications
  • Autonomous Cognitive Robots and the Law

Live demos are invited. The organisers will bring NAOs and a bear robot for demonstration.

Paper Submission and Publication

We are seeking three kinds of contributions related to the workshop topics.

  1. Technical full papers detail innovative algorithms, solutions and theoretical treatment of one or more issues of interest.
  2. Short position papers identify challenging issues and propose visionary solutions with strong basis on the state of the art.
  3. Demo papers explain practical applications of the theoretical development in KR and AI.

All papers should be prepared using the AMMAS Proceeding Guidelines. Papers can be up to 8 pages in length. Accepted papers will be published by ACM Digital Library, and the author will hold copyright. We may explore possibilities for a Special Issue in a relevant journal depending on the quality of submissions. All papers should be submitted electronically through EasyChair Submission System.