Research

Contact Us


Satinder S. Baveja, Director
3749 Beyster Bldg.
Ann Arbor, MI 48109-2121
PH: 734-936-2831
baveja@eecs.umich.edu


Kimberly Mann
Research Proc. Coordinator
3820 Beyster Building
Ann Arbor, MI 48109-2121
PH: 734-763-6985
Fax: 734-763-1260
kimrmann@umich.edu

Overview Areas of Specialty
The Artificial Intelligence (AI) laboratory at the University of Michigan comprises a multidisciplinary group of researchers conducting theoretical, experimental, and applied investigations of intelligent systems. Current projects include research in rational decision making, distributed systems of multiple agents, machine learning, cognitive modeling, design, game theory, collaboration technology, natural language processing, machine perception, spatial reasoning, and robotics.

Research in the AI laboratory tends to be highly interdisciplinary, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and philosophy. In pursuing this approach, laboratory faculty and students work closely with colleagues throughout the University. This collaborative environment, coupled with our unusually diverse perspectives leads to a valuable interchange of ideas within and across research groups. Listed here are the major areas of research on AI at the University of Michigan.

 
Faculty  (Show All)
Abney, Steven
Adamic, Lada A.
Atkins, Ella M.
Baveja, Satinder Singh
Durfee, Edmund H
Essl, Georg
Eustice, Ryan M.
Holland, John H.
Kuipers, Benjamin
Laird, John E.
Lee, Honglak
Mei, Qiaozhu
Olson, Edwin
Polk, Thad A.
Pollack, Martha
Radev, Dragomir
Scott, Clayton D
Syed, Zeeshan H.
Wellman, Michael


Affiliated Faculty
Hero, Alfred
Kieras, David
Lewis, Richard
MacKie-Mason, Jeffrey
Markov, Igor
Murphy, Susan
Sakallah, Karem
Sami, Rahul
Savarese, Silvio
Zhu, Ji


Related Labs, Centers, and Groups
APRIL Robotics Laboratory
Center for Cognitive Architecture
Center for the Study of Complex Systems
Computational Linguistics and Information Retrieval (CLAIR) Group
Distributed Intelligent Agents Group
EPIC: A Cognitive Architecture for Computational Modeling of Human Performance
Ground Robotics Research Consortium
Michigan Mobile Phone Ensemble
PeRL: The Perceptual Robotics Laboratory
Reinforcement Learning Group
Soar Group
STIET Program
Systems Laboratory
urMus - Audio and Media Interactions and Interfaces on Mobile Phones
Vision Lab

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