Lawson L.S. Wong

Postdoctoral Fellow in Computer Science, Brown University

Ph.D. (MIT EECS, 2016)
B.S., M.S. (Stanford CS, 2009)

Email: lsw at

Mailing address:
Box 1910, Computer Science Department
Brown University
Providence, RI 02912

Physical address:
115 Waterman Street, Room 305
Providence, RI 02912

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Lawson L.S. Wong is a postdoctoral fellow at Brown University, working with Stefanie Tellex. He completed his Ph.D. in 2016 at the Massachusetts Institute of Technology, advised by Leslie Pack Kaelbling and Tomás Lozano-Pérez. Previously, he received his B.S. (with Honors) and M.S. in Computer Science at Stanford University, both in 2009. His current research focuses on acquiring, representing, and estimating knowledge about the world that an autonomous robot may find useful. More broadly, Lawson is interested in, and follows many topics within, the fields of robotics, machine learning, and artificial intelligence. He was awarded a AAAI Robotics Student Fellowship in 2015 and is currently supported by a Croucher Foundation Fellowship for Postdoctoral Research.

Working papers

Learning Abstractions by Transferring Abstract Policies to Grounded State Spaces
Lawson L.S. Wong
In preparation

Refresh: The Factor-Fuse-Forget Filtering Framework
Lawson L.S. Wong
In submission

Grounding Natural Language Instructions to Semantic Goal Representations for Abstraction and Generalization
Dilip Arumugam*, Siddharth Karamcheti*, Nakul Gopalan, Edward C. Williams, Mina Rhee, Lawson L.S. Wong, Stefanie Tellex
In submission; invited journal article based on RSS 2017 paper

Solving Large POMDPs with Sparse Sampling
Nakul Gopalan, James MacGlashan, Stefanie Tellex, Lawson L.S. Wong
In submission

Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L.S. Wong, Michael Littman
In submission

Recent publications

Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
Dilip Arumugam*, Siddharth Karamcheti*, Nakul Gopalan, Lawson L.S. Wong, Stefanie Tellex
Robotics: Science and Systems (RSS), 2017
[pdf] [YouTube]

Planning with Abstract Markov Decision Processes
Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L.S. Wong
International Conference on Automated Planning and Scheduling (ICAPS), 2017
[pdf] [YouTube]

Reducing Errors in Object-Fetching Interactions through Social Feedback
David Whitney, Eric Rosen, James MacGlashan, Lawson L.S. Wong, Stefanie Tellex
IEEE International Conference on Robotics and Automation (ICRA), 2017
[pdf] [YouTube]

Please visit my old website (at MIT CSAIL) for more information while website migration is in progress.

Old website (at MIT CSAIL)
Humans to Robots Laboratory