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Paulina Varshavskaya
Paulina joined the group as a research associate in October 2009, working on the IDEA Lab project Automating and Enhancing Team Performance Analysis. Paulina received her PhD in Computer Science from MIT in September 2007, where she worked on distributed reinforcement learning approaches to the control of self-reconfiguring modular robots. She received her SM in Computer Science from MIT in 2002, and her B.Sc. in Computer Science with Cognitive Science from University College London in 1999. Since graduating, Paulina worked as a postdoctoral researcher at the MIT Computer Science and Artificial Intelligence Lab, as a visiting scholar at the MIT Center for Collective Intelligence, and as a lecturer at Tufts University. Her research interests are primarily in the field of distributed robotics and machine learning. |
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Automating and Enhancing Team Performance Analysis This project is about connecting automated analysis of successful tactics in team sports (such as soccer) and autonomous decision-making by artificial agents in team situations (such as robot soccer). The research focus is on finding a compact, invariant representation for specific team behaviors, which will enable powerful algorithms to recognize, search, compare, and make decisions in the space of successful tactics. We are working with John Sproule and other sports scientists in the Physical Education, Sports and Leisure Studies Department of the Moray House School of Education, as well as the RoboCup Team led by Subramanian Ramamoorthy in Informatics. Details of the project can be found on the IDEA Lab forum, where weekly progress updates are posted. |