Charles Ortiz

Charles Ortiz
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Main area of research
Natural language & AI

Charles Ortiz is the Senior Principal Manager of the Artificial Intelligence and Reasoning Group at the Nuance Natural Language and AI Laboratory in Sunnyvale California.  His research at Nuance focuses on collaborative dialog systems and commonsense reasoning for personal assistants. Prior to joining Nuance, he was the director of research in collaborative multi-agent systems at the AI Center at SRI International. His research interests and contributions are in multiagent systems (collaborative dialogue-structured assistants, collaborative work environments, negotiation protocols, and logic-based BDI theories), knowledge representation and reasoning (causation, counterfactuals, and commonsense reasoning), and robotics (cognitive robotics, team-based robotics, and dialogue-based human-robot interaction). He has approximately 20 years of technical leadership and management experience in leading major projects and setting strategic directions. He has collaborated extensively with faculty and students at many academic institutions including Harvard University, Bar-Ilan University, UC Berkeley, Columbia University, University of Southern California, Vassar College, and Carnegie Mellon University. He holds an S.B. in Physics from MIT, an M.S. in Computer Science from Columbia University, and a Ph.D. in Computer and Information Science from the University of Pennsylvania. Following his PhD research, he was a Postdoctoral Research Fellow at Harvard University. He has taught courses at Harvard and was also an adjunct faculty member at UC Berkeley.  He has presented numerous tutorials at technical conferences (IJCAI 1999 and 2005, AAAI 2002 and 2004, AAMAS 2002-2004).

Selected articles

Task inference and distributed, task management in complex 3D environments

We describe some very preliminary ideas and work on the problem of allocated UAVs on a multi-agent pursuit and evasion problem; these ideas are presented

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Task inference and distributed task management in the Centibots robotic system

We describe the Centibots system, a very large scale distributed robotic system, consisting of more than 100 robots, that has been successfully deployed in large,

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Centibots: very large scale distributed robotic teams

We describe the development of Centibots, a framework for very large teams of robots that are able to perceive, explore, plan and collaborate in unknown

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Introduction to a multi-agent perspective

As computer networks (and computational grids) become increasingly complex, the problem of allocating resources within such networks, in a distributed fashion, will become more and

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Scaling up distributed sensor networks: cooperative large-scale mobile-agent organizations

We present a system called the Distributed Dispatcher Manager (DDM) for effectively managing very large-scale networks of thousands of sensor agents and thousands of objects.

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