Multi-Robot Intelligence

Robots are physical artifacts with a seamless integration of perception, cognition, and action. My presentation will be focused on teams of intelligent autonomous robots performing tasks in highly uncertain domains. Robots need to jointly assess the state of their environment, communicate with each other, make decisions, execute actions towards the achievement of team objectives, and learn from observation and feedback based on the outcome of their actions.

Manuela M. Veloso is Herbert A. Simon 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.

Veloso researches in planning, control learning, and execution for multirobot teams. Her algorithms address uncertain, dynamic, and adversarial environments. With her students, Veloso has developed teams of robot soccer agents, which have been RoboCup world champions several times.

Veloso is a Fellow of the American Association of Artificial Intelligence and President-Elect 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. Veloso was Program Chair of the 2007 International Joint Conference on Artificial Intelligence, IJCAIགྷ, held in Hyderabad.

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 200 journal articles and conference papers.