Lawson Wong
Assistant Professor
Education
- PhD, Massachusetts Institute of Technology
Biography
Lawson L.S. Wong is an assistant professor in the Khoury College of Computer Sciences at Northeastern University, based in Boston.
Wong's research focuses on learning, representing, and estimating knowledge about the world that an autonomous robot may find useful. Prior to Northeastern, he was a postdoctoral fellow at Brown University. He has received a Siebel Fellowship, AAAI Robotics Student Fellowship, and Croucher Foundation Fellowship for Postdoctoral Research.
Labs and groups
Recent publications
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A Hierarchical Framework for Robot Safety using Whole-body Tactile Sensors
Citation: Shuo Jiang, Lawson L. S. Wong. (2024). A Hierarchical Framework for Robot Safety using Whole-body Tactile Sensors ICRA, 8021-8028. https://doi.org/10.1109/ICRA57147.2024.10610834 -
Robot Navigation in Unseen Environments using Coarse Maps
Citation: Chengguang Xu, Christopher Amato, Lawson L. S. Wong. (2024). Robot Navigation in Unseen Environments using Coarse Maps ICRA, 2932-2938. https://doi.org/10.1109/ICRA57147.2024.10611256 -
Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain
Citation: Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong. (2024). Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain ICRA, 5090-5096. https://doi.org/10.1109/ICRA57147.2024.10611384 -
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Citation: Jung Yeon Park, Lawson L. S. Wong, Robin Walters. (2023). Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NeurIPS. http://papers.nips.cc/paper_files/paper/2023/hash/317470b3fde29f3bb8d6dee563afffc4-Abstract-Conference.html -
Active Tactile Exploration using Shape-Dependent Reinforcement Learning
Citation: Shuo Jiang, Lawson L. S. Wong. (2022). Active Tactile Exploration using Shape-Dependent Reinforcement Learning IROS, 8995-9002. https://doi.org/10.1109/IROS47612.2022.9982266 -
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Citation: Dian Wang , Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt. (2023). The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry ICLR. https://openreview.net/pdf?id=P4MUGRM4Acu -
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation
Citation: Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong. (2023). Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation ICLR. https://openreview.net/pdf?id=PYbe4MoHf32 -
Toward Compositional Generalization in Object-Oriented World Modeling
Citation: Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong. (2022). Toward Compositional Generalization in Object-Oriented World Modeling ICML, 26841-26864. https://proceedings.mlr.press/v162/zhao22b.html -
Integrating Symmetry into Differentiable Planning with Steerable Convolutions
Citation: Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong. (2023). Integrating Symmetry into Differentiable Planning with Steerable Convolutions ICLR. https://openreview.net/pdf?id=n7CPzMPKQl -
Hierarchical Robot Navigation in Novel Environments Using Rough 2-D Maps
Citation: Xu, Chengguang, Chris Amato and Lawson L. S. Wong. “Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps.” ArXiv abs/2106.03665 (2021): n. pag. -
Deep Imitation Learning for Bimanual Robotic Manipulation
Citation: Xie, Fan, A. M. Masum Bulbul Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong and Rose Yu. “Deep Imitation Learning for Bimanual Robotic Manipulation.” ArXiv abs/2010.05134 (2020): n. pag.
Current PhD students
Previous PhD students
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Ondrej Biza