Manuela M. Veloso
This information is accurate as of the fellowship year indicated for each fellow.
Manuela M. Veloso is the Herbert A. Simon Professor of Computer Science at Carnegie Mellon University, researching artificial intelligence and robotics. She focuses on planning, control learning, and execution algorithms for single and multirobot systems, in particular in uncertain, dynamic, and adversarial environments. With her students, Veloso has developed teams of robot soccer agents, which have successfully participated in international RoboCup competitions since 1997.
As a Radcliffe fellow, Veloso will investigate a theory of integrated intelligence, in which acting and the processing of sensory information are strongly tied to the underlying cognitive task. She will ground her work in the analysis of complex nonstationary domains requiring the integration of multiple robot capabilities to jointly assess and share the state of the environment, make decisions, and execute actions toward the achievement of concrete objectives.
Veloso holds a BS in electrical engineering and an MSc in electrical and computer engineering from the Instituto Superior Tecnico in Lisbon. She earned her PhD in computer science from Carnegie Mellon University. She is a fellow of the American Association of Artificial Intelligence and vice president of the RoboCup International Federation. She was awarded a CAREER Award from the National Science Foundation and the Allen Newell Medal for Excellence in Research and is the program chair of the 2007 International Joint Conference on Artificial Intelligence. Veloso is the author of Planning and Learning by Analogical Reasoning (Springer-Verlag, 1994), has edited several books, and has published more than 150 journal articles and conference papers.