Lawson L.S. Wong

Senior Research Associate 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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I am currently an assistant professor at Northeastern University. Please visit my new website.

Lawson L.S. Wong is a senior research associate (formerly 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 was supported by a Croucher Foundation Fellowship for Postdoctoral Research from 2016-2018.

Publications while at Brown University (2016-2018)

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
Autonomous Robots (AURO), 2019.
[pdf (preprint)]

Multi-Object Search using Object-Oriented POMDPs
Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L.S. Wong, Stefanie Tellex
IEEE International Conference on Robotics and Automation (ICRA), 2019
[To appear]

State Abstraction as Compression in Apprenticeship Learning
David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L.S. Wong
AAAI Conference on Artificial Intelligence (AAAI), 2019

Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications
Nakul Gopalan*, Dilip Arumugam*, Lawson L.S. Wong, Stefanie Tellex.
Robotics: Science and Systems (RSS), 2018

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]

Humans to Robots Laboratory