TEAMBOTICA: A Robotic framework for integrated teaming, tasking, networking and control

Mailing address:
AI Center
SRI International
333 Ravenswood Avenue
Menlo Park, CA 94025-3493

AIC Program:  Representation and Reasoning

Project home page at http://www.ai.sri.com/teambotica

The TEAMBOTIC project is a project funded under ONR which will develop a new software capability for the reprogrammable, coordinated command and control of teams of autonomous unmanned air and ground vehicles (UAVs/UGVs). This new software capability will allow developers to build and test teams that collaboratively perform tasks - such as reconnaissance and surveillance - with minimal supervision in dynamic, unstructured environments. SRI International has developed an innovative architecture for collaborative autonomous agents and successfully demonstrated collaborative tasking and adaptation for pursuit and evasion scenarios in relatively uncluttered environments. This project will focus on the problems posed by cluttered and hostile urban environments. Our major contribution will be an integrated planning and distributed control architecture in which collective behavior is uniquely adaptive and fault tolerant. Specific areas of research addressed will include (1) novel applications of vision and image analysis for collaborative localization, (2) advances in predictive plan assessment, (3) extensions to a unique desirability-based approach for task and resource menagement and (4) an integrated framework for combining mission planning, localization and communication constraints. We will also incorporate SharedPlans constructs as well as a capability for UCAV’s to reason about communication limitations and the relevance of information.

• Vincent, R. and Berry, P. and Agno, A. and Ortiz, C. and Wilkins, D. Teambotica: a robotic framework for integrated teaming, tasking, networking, and control, in Autonomous Agents and Multiagent Systems Conference, 2003.  [Details]

• Wilkins, D. E., Lee, T. and Berry, P. Interactive Execution Monitoring of Agent Teams. Journal of Artificial Intelligence Research, vol. 18, pp. 217-261, March 2003.  [PDF, Details]

• Berry, P. M. and Wilkins, D. E. and Lee, T. J. Execution Monitoring in Agent Teams, in Proceedings of 2nd Annual Symposium on Autonomous Intelligent Networks and Systems (AINS), , Menlo Park, California, 2003.  [Details]

• Ortiz, C.L. and Hsu, E. Structured Negotiation, in First International Conference on Autonomous Agents and Multiagent Systems, 2002.  [PS, Details]