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Nancy M. Amato
Also published under:N. M. Amato, Nancy Amato, N. Amato
Affiliation
Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, USA
Topic
Path Planning,Planning Time,Configuration Space,Conflict Resolution,Coupling Method,High Level Of Coordination,Hybrid Method,Individual Paths,Individual Robots,Level Of Coordination,Multi-robot Motion Planning,Planning Problem,Rapidly-exploring Random Tree,Robot Path,Set Of Robots,Space Planning,Valid Path,3D Environment,Asymptotic Optimality,Collision Detection,Combination Of Elements,Congestion Level,Continuous Path,Continuous State Space,Cost Path,Coupling Approach,Environmental Variables,Free Space,Goal Position,Graph-based Representation,Graphical Representation,Guide For Use,Heuristic,High Coordination,Larger Team,Local Components,Local Features,Low Coordination,Low-dimensional Representation,Makespan,Medial Axis,Mobile Robot,Multi-robot Task,Number Of Objects,Number Of Scales,Object Pose,Outdoor Environments,Pair Of Vertices,Partial Validation,Performance In Scenarios,
Biography
Nancy M. Amato received the undergraduate degrees in mathematical
sciences and economics from Stanford, CA, USA, and the M.S. and Ph.D. degrees in computer science from the University
of California, Berkeley, CA, USA and the University of Illinois at Urbana-Champaign, USA, respectively. She is Regents
Professor and Unocal Professor of Computer Science and Engineering at Texas A&M University, TX, USA. In January
2019, she will join the Department of Computer Science at the University of Illinois at Urbana-Champaign, USA, as
Department Head and as Abel Bliss Professor of Engineering. Her research focuses on robotics motion planning,
computational biology and geometry, and parallel computing. She is a AAAI, AAAS, ACM, and IEEE Fellow.