Biography and Interests

I am the Program Director for the Teambotics program in the AI Center at SRI. The mission of the Tembotics group is to advance the state of the art of multiagent collaboration; whether the collaboration occurs between a human user and a single device, between societies of many computing devices, or between mixed human-computer teams. My own research interests are in: commonsense reasoning (action, causation, and counterfactuals), rational agent architectures, collaborative systems (distributed robotics, interfaces, negotiation, and ubiquitous computing), planning under incomplete information, applications of logic to formalizing commonsense reasoning, logic programming, large-scale information management, and distance learning.

Past Projects

	Automating Exception Handing with Dynamic, Collaborative Scheduling This project will integrate flight scheduling, execution management, and distributed coordination capabilities to provide an integrated basis for generating and updating flight schedules in response to new requirements, negotiating adjustments to resource assignments, immediately detecting schedule deviations during execution and alerting users about them, and dynamically reoptimizing flight schedules. Joint work with Carnegie Mellon University on problems at the Air Mobility Command.
	Centibots very large-scale robot teams This is a joint project with Stanford, University of Washington, and ActiveMedia Robotics, to design, implement and demonstrate a computational framework for the coordination of very large robot teams, consisting of at least 100 small, resource limited robots, on an indoor reconnaissance task.
	Coordinated Multi-Agent Team Reasoning and Incremental eXecution SRI and team members are working on developing systems that enable people working in teams to quickly and effectively manage change.
	Cyberhabitats Cyberhabitats is an SRI IR&D project to develop the next generation of secure, web-enabled collaborative environment that adapts to user work patterns.
	Distributed Continual Planning and Execution for Autonomous Air Vehicles This goal of this project is to develop a new software capability for the reprogrammable, coordinated command and control of teams of autonomous unmanned combat air vehicles (UCAVs) and unmanned ground vehicles (UGVs).
	TEAMBOTICA: A Robotic framework for integrated teaming, tasking, networking and control Teambotica is a research initiative to develop the computational framework necessary for intelligent, autonomous teams of robots to operate in hostile environments.
	Teambots: Video games and simulations that model teams Our project is to build artificial team player for computer games. Our goal is to design and build virtual player that understand the notion of team objectives, the notion of roles (defender, supporter, attacker) and also understand the implications of their actions on the goal.
	The Autonomous Negotiating Teams Project The Incremental Negotiation and Coalition Formation for Resource-bounded Reasoners project will develop new incremental negotiation and coalition formation strategies over abstraction spaces, emphasizing focused and time-sensitive interactions between ANT members in which planning and execution activities are interleaved. Negotiation and coalition strategies will be structured around the stages through which group plans evolve, as represented within the SharedPlans (SP) theory of collaboration.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 42 [View All]

• Régis Vincent, Benoit Morisset, Andrew Agno, Michael Eriksen, Charlie Ortiz. CENTIBOTS: LARGE-SCALE AUTONOMOUS ROBOTIC SEARCH AND RESCUE EXPERIMENT, in 2nd International Joint Topical Meeting on Emergency Preparedness & Response and Robotics & Remote Systems, March 2008.  [PDF, Details]

• Hunsberger, L and Ortiz, C. Dynamic Intention Structures I: A theory of intention representation. Autonomous Agents and Multi-Agent Systems, 2008.  [PDF, Details]

• Rosenfeld, A. and Kraus, S. and Ortiz, C. Measuring the Expected Gain of Communicating Constraint Information. Multiagent and Grid Systems, 2008.  [PDF, Details]

• Vincent, R. and Dieter, F. and Ko, J. and Konolige, K. and Limketkai, B. and Morisset, B. and Ortiz, C. and Schulz, D. and Stewart, B. Distributed Multirobot Exploration, Mapping, and Task Allocationin Special Issue on Multi-Robot Coverage, Search, and Exploration, Annals of Math and Artificial Intelligence journal (AMAI) , 2008.  [Details]

• Rosenfeld, A. and Kraus, S. and Ortiz, C. Quantifying the Expected Utility of Information in Multi-Agent Scheduling Tasks . Proceedings of the Eleventh International Workshop on Cooperative Information Agents, 2007.  [PDF, Details]