A Conceptual Space Architecture for Widely Heterogeneous Robotic Systems

This paper describes the value of the conceptual space approach for use in teams of robots that have radically different sensory capabilities. The formal underpinnings and perceptual processes are described in the context of a biohazard detection task. The architecture is based on the conceptual spaces representation that Gardenfors suggested as an alternative to more traditional AI approaches.

[1]  Zsolt Kira,et al.  Communication and alignment of grounded symbolic knowledge among heterogeneous robots , 2010 .

[2]  Janet Aisbett,et al.  A general formulation of conceptual spaces as a meso level representation , 2001, Artif. Intell..

[3]  Peter Norvig,et al.  Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.

[4]  Peter Gärdenfors,et al.  Conceptual spaces - the geometry of thought , 2000 .

[5]  Stevan Harnad The Symbol Grounding Problem , 1999, ArXiv.

[6]  Mark Collins,et al.  AI Techniques for Game Programming , 2002 .

[7]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[8]  R. Naguib,et al.  Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management , 2000 .

[9]  Anthony Kulis,et al.  Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies , 2009, Scalable Comput. Pract. Exp..

[10]  Zsolt Kira Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments , 2009, FLAIRS Conference.

[11]  Zsolt Kira Inter-robot transfer learning for perceptual classification , 2010, AAMAS.

[12]  Alex J. Champandard AI Game Development: Synthetic Creatures with Learning and Reactive Behaviors , 2003 .

[13]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[14]  Thomas R. Collins,et al.  Mission specification and control for unmanned aerial and ground vehicles for indoor target discovery and tracking , 2010, Defense + Commercial Sensing.

[15]  Paul King Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management , 2003 .

[16]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[17]  Zsolt Kira Transferring embodied concepts between perceptually heterogeneous robots , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.