Seth Teller obtained a Ph.D. from U.C. Berkeley in 1992, focusing on
accelerated rendering of complex architectural environments. After
post-doctoral fellowships at the Computer Science Institute of the
Hebrew University of Jerusalem Institute of Computer Science, and
Princeton University's Computer Science Department, Teller joined
MIT's Department of Electrical Engineering and Computer Science,
Lab for Computer Science, and Artificial Intelligence Lab in 1994.
(In 2004, the two labs merged into CSAIL, MIT's Computer Science
and Artificial Intelligence Laboratory.)
At CSAIL, Teller heads the Robotics, Vision, and Sensor Networks group (RVSN),
where his research focuses on enabling machines to become aware of
their surroundings and interact naturally with people. Some of his
lab's recent projects include: hand-held and body-worn devices that
provide navigation assistance indoors; a voice-commandable robotic
wheelchair; a self-driving LandRover; and an unmanned, outdoor
forklift commanded through speech and gestures.
- Edwin Olson, John Leonard, and Seth Teller,
Robust Range-Only Beacon Localization,
in Journal of Ocean Engineering, 2006 (to appear).
- Peter Sand and Seth Teller,
in Proc. Computer Vision and Pattern Recognition,
Boston MA, July-August 2006 (to appear).
- Edwin Olson, Matthew Walter, Seth Teller, and John Leonard,
Single-Cluster Spectral Graph Partitioning for Robotics
Applications, in Proceedings of Robotics: Science and
Systems, June 2005, pp. 265--272.
- Nissanka Bodhi Priyantha, Hari Balakrishnan, Erik Demaine,
and Seth Teller, Mobile-Assisted Localization in Wireless
Sensor Networks, in Proceedings of IEEE InfoCom 2005,
March 2005, pp. 172--183.
- David Moore, John Leonard, Daniela Rus, and Seth Teller,
Robust distributed network localization with noisy range
measurements (Best paper award!), in Proceedings of the
Second ACM Conference on Embedded Networked Sensor Systems
(SenSys '04), Baltimore, MD. November 3-5, 2004.
- Peter Sand and Seth Teller, Video Matching, in ACM
Transactions on Graphics (Proc. SIGGRAPH), Vol. 22,
No. 3, pp. 592-599, July 2004.
- CAAD 07: Best Presentation (2007)
- ACM SenSys: Best paper (2004)
- VSMM: Best paper (2001)
- Sloan Foundation: Fellow (1997)
- NSF: Career Award (1995)
- UC Berkeley: Samuel Silver Research Award (1992)