NL-based communication with firefighting robots

Firefighters put themselves in harm's way while saving others and may even lose their lives in certain situations, such as toxic fumes, extreme heat, or inhaling smoke. In order to protect firefighters from the risks and, at the same time, to save others' lives, firefighting and firefighter assistant robots have been developed. This paper will compare different firefighting and firefighter assistant robots and their functionalities. The main thrust of the paper, however, is to discuss the transition from tele-operated robots first to voice-operated and, eventually, to fully autonomous ones, which is where robotic intelligence resides. We will introduce HARMS, the human-agent-robot-machine-sensor collaborative effort, and explain why using natural language as the basis of their communication is not only optimal but also feasible and affordable with the Ontological Semantic Technology.

[1]  Gustavo Pessin,et al.  Intelligent control and evolutionary strategies applied to multirobotic systems , 2010, 2010 IEEE International Conference on Industrial Technology.

[2]  H. Amano.  Present status and problems of fire fighting robots , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[3]  Hartwig Holzapfel.  A dialogue manager for multimodal human-robot interaction and learning of a humanoid robot , 2008, Ind. Robot.

[4]  Eric T. Matson,et al.  A natural language exchange model for enabling human, agent, robot and machine interaction , 2011, The 5th International Conference on Automation, Robotics and Applications.

[5]  Christian Hempelmann,et al.  From Disambiguation Failures to Common-Sense Knowledge Acquisition: A Day in the Life of an Ontological Semantic System , 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

[6]  Kuo L. Su.  Automatic Fire Detection System Using Adaptive Fusion Algorithm for Fire Fighting Robot , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[7]  Julia M. Taylor,et al.  Computing with nouns and verbs , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[8]  Pål Liljebäck,et al.  SnakeFighter - Development of a Water Hydraulic Fire Fighting Snake Robot , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

[9]  Laurent Vercouter,et al.  A Peer-to-Peer Normative System to Achieve Social Order , 2006, COIN@AAMAS/ECAI.

[10]  Emiliano Lorini,et al.  Towards a Logical Model of Social Agreement for Agent Societies , 2009, COIN@AAMAS&IJCAI&MALLOW.

[11]  Richard A. Bolt,et al.  “Put-that-there”: Voice and gesture at the graphics interface , 1980, SIGGRAPH '80.

[12]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[13]  Dong-Jo Park,et al.  A System Architecture of Wireless Communication for Fire-Fighting Robots , 2008 .

[14]  Andry Tanoto,et al.  Analysis and design of human-robot swarm interaction in firefighting , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[15]  Scott A. DeLoach,et al.  A capabilities-based model for adaptive organizations , 2008, Autonomous Agents and Multi-Agent Systems.

[16]  Christian Hempelmann,et al.  Application-Guided Ontological Engineering , 2010, IC-AI.

[17]  Young-Sun Ryuh,et al.  Design and implementation of user-friendly remote controllers for rescue robots used at fire sites , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Christian F. Hempelmann.  Paronomasic puns: Target recoverability towards automatic generation , 2003 .

[19]  T.L. Chien,et al.  Develop a Multiple Interface Based Fire Fighting Robot , 2007, 2007 IEEE International Conference on Mechatronics.