Thursday, April 21, 2005
4:15 pm
B17 Upson Hall

Computer Science
Spring 2005

Manuela Veloso
Carnegie Mellon University

Integrated Perception, Cognition, and Action in Teams of Robots

Complete and robust intelligent agents capable of facing complex environments require an effective integration of perception, cognition, and action. Robot soccer, as a pioneering multi-robot task, has offered a concrete challenging research testbed, where a team of robots faces an uncertain and dynamic environment created by a team of opponent robots. We have researched in robot soccer developing single-robot and multi-robot perception, cognition, and action algorithms. To form an effective team of robots, individual robots need to be robust. We have developed effective object recognition, localization, and behavior-based algorithms. In addition, to achieve a reliable team of robots, we research on team coordination strategies, team response to a dynamic world, behavior recognition, opponent modeling, and multiagent learning. In this talk, I will present our contributions to addressing these multi-robot challenges. I will conclude setting my research goals in perspective. I will discuss some of the fascinating open questions towards creating increasingly robust teams of autonomous intelligent robots.

Manuela M. Veloso is Professor of Computer Science at Carnegie Mellon University. She earned her Ph.D. in Computer Science from Carnegie Mellon. She also received a B.S. in Electrical Engineering in 1980 and an M.Sc. in Electrical and Computer Engineering in 1984 from the Instituto Superior Tecnico in Lisbon.

Professor Veloso researches in the area of artificial intelligence with focus on planning, control learning, and execution for single and multirobot teams. Her algorithms address uncertain, dynamic, and adversarial environments. Prof. Veloso has developed teams of robot soccer agents, which have been RoboCup world champions several times.  She investigates learning approaches to a variety of control problems, in particular the performance optimization of algorithm implementations, and plan recognition in complex data sets. Professor Veloso is a Fellow of the American Association of Artificial Intelligence. She is Vice President of the RoboCup International Federation. She was awarded an NSF Career Award in 1995 and the Allen Newell Medal for Excellence in Research in 1997. Professor Veloso is Program Co-Chair of 2005 National Conference on Artificial Intelligence and the Program Chair of the 2007 International Joint Conference on Artificial Intelligence.

Professor Veloso is the author of one book on "Planning by Analogical Reasoning" and editor of several other books. She is also an author in over 100 journal articles and conference papers.