The DEFACTO System: Training Tool for Incident Commanders

Techniques for augmenting the automation of routine coordination are rapidly reaching a level of effectiveness where they can simulate realistic coordination on the ground for large numbers of emergency response entities (e.g. fire engines. police cars) for the sake of training. Furthermore, it seems inevitable that future disaster response systems will utilize such technology. We have constructed a new system, DE-FACTO (Demonstrating Effective Flexible Agent Coordination of Teams through Omnipresence), that integrates state-of-the-art agent reasoning capabilities and 3D visualization into a unique high fidelity system for training incident commanders. The DEFACTO system achieves this goal via three main components: (i) Omnipresent Viewer - intuitive interface, (ii) Proxy Framework - for team coordination, and (iii) Flexible Interaction - between the incident commander and the team. We have performed detailed preliminary experiments with DEFACTO in the fire-fighting domain. In addition, DEFACTO has been repeatedly demonstrated to key police and fire department personnel in Los Angeles area, with very positive feedback.

[1]  A. Paivio,et al.  Pictures and words in visual search , 1974, Memory & cognition.

[2]  Milind Tambe,et al.  Towards Adjustable Autonomy for the Real World , 2002, J. Artif. Intell. Res..

[3]  Randall W. Hill,et al.  Toward the holodeck: integrating graphics, sound, character and story , 2001, AGENTS '01.

[4]  Anthony E. Richardson,et al.  Spatial knowledge acquisition from maps and from navigation in real and virtual environments , 1999, Memory & cognition.

[5]  Suya You,et al.  Urban Site Modeling from LiDAR , 2003, ICCSA.

[6]  Alice M. Mulvehill,et al.  An approach to mixed-initiative management of heterogeneous software agent teams , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[7]  Milind Tambe,et al.  An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans , 2003, Autonomous Agents and Multi-Agent Systems.

[8]  Terrence Fong,et al.  Multi-robot remote driving with collaborative control , 2003, IEEE Trans. Ind. Electron..

[9]  Hiroaki Kitano,et al.  RoboCup Rescue: search and rescue in large-scale disasters as a domain for autonomous agents research , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[10]  Milind Tambe,et al.  A prototype infrastructure for distributed robot-agent-person teams , 2003, AAMAS '03.

[11]  Chung Hee Hwang,et al.  The TRAINS project: a case study in building a conversational planning agent , 1994, J. Exp. Theor. Artif. Intell..

[12]  Michael A. Goodrich,et al.  Towards predicting robot team performance , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[13]  Mark Gluck,et al.  Memory and cognition , 2000, Clinical Neurophysiology.

[14]  Roy A. Ruddle,et al.  Spatial knowledge and virtual environments , 1999 .

[15]  Eric Horvitz,et al.  Principles of mixed-initiative user interfaces , 1999, CHI '99.

[16]  Dylan M. Jones,et al.  Navigating Buildings in "Desk-Top" Virtual Environments: Experimental Investigations Using Extended Navigational Experience , 1997 .