Lawson L. S. Wong

80 papers A* 24A 3B 1C 2Misc 2Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MME-CoF-Pro: Evaluating Reasoning Coherence in Video Generative Models with Text and Visual Hints. CoRR Yu Qi, Xinyi Xu, Ziyu Guo, Siyuan Ma, Renrui Zhang, Xinyan Chen, Ruichuan An, Ruofan Xing, Jiayi Zhang, Haojie Huang, Pheng-Ann Heng, Jonathan Tremblay, Lawson L. S. Wong
2025	A	`conf`	Approximate Equivariance in Reinforcement Learning. AISTATS Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2025	J	`jnl`	BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities. CoRR Yu Qi, Haibo Zhao, Ziyu Guo, Siyuan Ma, Ziyan Chen, Yaokun Han, Renrui Zhang, Zitiantao Lin, Shiji Xin, Yijian Huang, Kai Cheng, Peiheng Wang, Jiazheng Liu, Jiayi Zhang, Yizhe Zhu, Wenqing Wang, Yiran Qin, Xupeng Zhu, Haojie Huang, Lawson L. S. Wong
2025	J	`jnl`	Discovering Lie Groups with Flow Matching. CoRR Jung Yeon Park, Yuxuan Chen, Floor Eijkelboom, Jan-Willem van de Meent, Lawson L. S. Wong, Robin Walters
2025	A*	`conf`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. ICRA Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2025	J	`jnl`	Robot Tactile Gesture Recognition Based on Full-body Modular E-skin. CoRR Shuo Jiang, Boce Hu, Linfeng Zhao, Lawson L. S. Wong
2025	J	`jnl`	Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. CoRR Linfeng Zhao, Willie McClinton, Aidan Curtis, Nishanth Kumar, Tom Silver, Leslie Pack Kaelbling, Lawson L. S. Wong
2025	A*	`conf`	Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation. CVPR Yu Qi, Yuanchen Ju, Tianming Wei, Chi Chu, Lawson L. S. Wong, Huazhe Xu
2025	J	`jnl`	Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation. CoRR Yu Qi, Yuanchen Ju, Tianming Wei, Chi Chu, Lawson L. S. Wong, Huazhe Xu
2024	J	`jnl`	-Equivariant Graph Planning for Navigation. IEEE Robotics Autom. Lett. Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong
2024	A*	`conf`	A Hierarchical Framework for Robot Safety using Whole-body Tactile Sensors. ICRA Shuo Jiang, Lawson L. S. Wong
2024	J	`jnl`	Approximate Equivariance in Reinforcement Learning. CoRR Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters
2024	J	`jnl`	Equivariant Action Sampling for Reinforcement Learning and Planning. CoRR Linfeng Zhao, Owen Howell, Xupeng Zhu, Jung Yeon Park, Zhewen Zhang, Robin Walters, Lawson L. S. Wong
2024	—	`conf`	Hierarchical RL-Guided Large-scale Navigation of a Snake Robot. AIM Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong
2024	J	`jnl`	Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps. RLJ Linfeng Zhao, Lawson L. S. Wong
2024	J	`jnl`	Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps. CoRR Linfeng Zhao, Lawson L. S. Wong
2024	J	`jnl`	On-Robot Reinforcement Learning with Goal-Contrastive Rewards. CoRR Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
2024	J	`jnl`	Robot Body Schema Learning from Full-body Extero/Proprioception Sensors. CoRR Shuo Jiang, Jinkun Zhang, Lawson L. S. Wong
2024	A*	`conf`	Robot Navigation in Unseen Environments using Coarse Maps. ICRA Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2024	A*	`conf`	Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain. ICRA Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong
2024	J	`jnl`	The Wallpaper is Ugly: Indoor Localization using Vision and Language. CoRR Seth Pate, Lawson L. S. Wong
2023	B	`conf`	"The wallpaper is ugly": Indoor Localization using Vision and Language. RO-MAN Seth Pate, Lawson L. S. Wong
2023	J	`jnl`	Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? CoRR Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong
2023	J	`jnl`	E(2)-Equivariant Graph Planning for Navigation. CoRR Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong
2023	J	`jnl`	Hierarchical RL-Guided Large-scale Navigation of a Snake Robot. CoRR Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong
2023	A*	`conf`	Integrating Symmetry into Differentiable Planning with Steerable Convolutions. ICLR Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2023	A*	`conf`	Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. NeurIPS Jung Yeon Park, Lawson L. S. Wong, Robin Walters
2023	J	`jnl`	Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. CoRR Jung Yeon Park, Lawson L. S. Wong, Robin Walters
2023	Misc	`conf`	One-shot Imitation Learning via Interaction Warping. CoRL Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	J	`jnl`	One-shot Imitation Learning via Interaction Warping. CoRR Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt
2023	A*	`conf`	Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. ICLR Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong
2023	J	`jnl`	Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain. CoRR Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong
2023	A*	`conf`	The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt
2023	J	`jnl`	Vision and Language Navigation in the Real World via Online Visual Language Mapping. CoRR Chengguang Xu, Hieu T. Nguyen, Christopher Amato, Lawson L. S. Wong
2022	A	`conf`	Active Tactile Exploration using Shape-Dependent Reinforcement Learning. IROS Shuo Jiang, Lawson L. S. Wong
2022	J	`jnl`	Binding Actions to Objects in World Models. CoRR Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf
2022	J	`jnl`	Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2022	J	`jnl`	Integrating Symmetry into Differentiable Planning. CoRR Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2022	A*	`conf`	Robust Imitation of a Few Demonstrations with a Backwards Model. NeurIPS Jung Yeon Park, Lawson L. S. Wong
2022	J	`jnl`	Robust Imitation of a Few Demonstrations with a Backwards Model. CoRR Jung Yeon Park, Lawson L. S. Wong
2022	J	`jnl`	Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. CoRR Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong
2022	J	`jnl`	The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. CoRR Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt
2022	A*	`conf`	Toward Compositional Generalization in Object-Oriented World Modeling. ICML Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2022	J	`jnl`	Toward Compositional Generalization in Object-Oriented World Modeling. CoRR Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong
2021	A	`conf`	Action Priors for Large Action Spaces in Robotics. AAMAS Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2021	J	`jnl`	Action Priors for Large Action Spaces in Robotics. CoRR Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2021	J	`jnl`	Bad-Policy Density: A Measure of Reinforcement Learning Hardness. CoRR David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong
2021	J	`jnl`	Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRR Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2021	J	`jnl`	Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding. CoRR Seth Pate, Wei Xu, Ziyi Yang, Maxwell Love, Siddarth Ganguri, Lawson L. S. Wong
2020	A*	`conf`	Deep Imitation Learning for Bimanual Robotic Manipulation. NeurIPS Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu
2020	J	`jnl`	Deep Imitation Learning for Bimanual Robotic Manipulation. CoRR Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu
2020	Misc	`conf`	Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps. CoRL Chengguang Xu, Christopher Amato, Lawson L. S. Wong
2020	J	`jnl`	Learning discrete state abstractions with deep variational inference. CoRR Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong
2019	J	`jnl`	Grounding natural language instructions to semantic goal representations for abstraction and generalization. Auton. Robots Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Edward C. Williams, Mina Rhee, Lawson L. S. Wong, Stefanie Tellex
2019	A*	`conf`	Multi-Object Search using Object-Oriented POMDPs. ICRA Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L. S. Wong, Stefanie Tellex
2019	A*	`conf`	State Abstraction as Compression in Apprenticeship Learning. AAAI David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong
2018	—	`conf`	Learning Abstractions by Transferring Abstract Policies to Grounded State Spaces. AAAI Spring Symposia Lawson L. S. Wong
2018	—	`conf`	Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications. Robotics: Science and Systems Nakul Gopalan, Dilip Arumugam, Lawson L. S. Wong, Stefanie Tellex
2017	—	`conf`	A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. RoboNLP@ACL Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	J	`jnl`	A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions. CoRR Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	—	`conf`	Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. Robotics: Science and Systems Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	J	`jnl`	Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities. CoRR Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex
2017	J	`jnl`	Latent Attention Networks. CoRR Christopher Grimm, Dilip Arumugam, Siddharth Karamcheti, David Abel, Lawson L. S. Wong, Michael L. Littman
2017	J	`jnl`	Learning the state of the world: object-based world modeling for mobile manipulation robots. AI Matters Lawson L. S. Wong
2017	A*	`conf`	Planning with Abstract Markov Decision Processes. ICAPS Nakul Gopalan, Marie desJardins, Michael L. Littman, James MacGlashan, Shawn Squire, Stefanie Tellex, John Winder, Lawson L. S. Wong
2017	A*	`conf`	Reducing errors in object-fetching interactions through social feedback. ICRA David Whitney, Eric Rosen, James MacGlashan, Lawson L. S. Wong, Stefanie Tellex
2016	A*	`conf`	Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2016	—	`—`	Object-based world modeling for mobile-manipulation robots. Lawson L. S. Wong
2016	A*	`conf`	Searching for physical objects in partially known environments. ICRA Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling
2015	J	`jnl`	Data association for semantic world modeling from partial views. Int. J. Robotics Res. Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2015	J	`jnl`	Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2014	A*	`conf`	A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments. AAAI Lawson L. S. Wong
2014	A*	`conf`	Living and Searching in the World: Object-Based State Estimation for Mobile Robots. AAAI Lawson L. S. Wong
2014	A*	`conf`	Not seeing is also believing: Combining object and metric spatial information. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	C	`conf`	Data Association for Semantic World Modeling from Partial Views. ISRR Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2013	A*	`conf`	Manipulation-based active search for occluded objects. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2012	A*	`conf`	Collision-free state estimation. ICRA Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez
2008	A*	`conf`	Learning Grasp Strategies with Partial Shape Information. AAAI Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng
2007	C	`conf`	A Vision-Based System for Grasping Novel Objects in Cluttered Environments. ISRR Ashutosh Saxena, Lawson L. S. Wong, Morgan Quigley, Andrew Y. Ng
2006	—	`conf`	Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search. TRECVID Steven C. H. Hoi, Lawson L. S. Wong, Albert Lyu