Lawson L. S. Wong

According to our database, Lawson L. S. Wong authored at least 48 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

-Equivariant Graph Planning for Navigation.

Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong

IEEE Robotics Autom. Lett., 2024

Robot Body Schema Learning from Full-body Extero/Proprioception Sensors.

Shuo Jiang, Jinkun Zhang, Lawson L. S. Wong

CoRR, 2024

2023

Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain.

Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong

CoRR, 2023

Hierarchical RL-Guided Large-scale Navigation of a Snake Robot.

Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L. S. Wong

CoRR, 2023

Vision and Language Navigation in the Real World via Online Visual Language Mapping.

Chengguang Xu, Hieu T. Nguyen, Christopher Amato, Lawson L. S. Wong

CoRR, 2023

E(2)-Equivariant Graph Planning for Navigation.

Linfeng Zhao, Hongyu Li, Taskin Padir, Huaizu Jiang, Lawson L. S. Wong

CoRR, 2023

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning?

Linfeng Zhao, Owen Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L. S. Wong

CoRR, 2023

"The wallpaper is ugly": Indoor Localization using Vision and Language.

Seth Pate, Lawson L. S. Wong

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing.

Jung Yeon Park, Lawson L. S. Wong, Robin Walters

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Integrating Symmetry into Differentiable Planning with Steerable Convolutions.

Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation.

Linfeng Zhao, Huazhe Xu, Lawson L. S. Wong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry.

Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-shot Imitation Learning via Interaction Warping.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Integrating Symmetry into Differentiable Planning.

Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L. S. Wong

CoRR, 2022

Binding Actions to Objects in World Models.

Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf

CoRR, 2022

Factored World Models for Zero-Shot Generalization in Robotic Manipulation.

Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong

CoRR, 2022

Robust Imitation of a Few Demonstrations with a Backwards Model.

Jung Yeon Park, Lawson L. S. Wong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Tactile Exploration using Shape-Dependent Reinforcement Learning.

Shuo Jiang, Lawson L. S. Wong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Toward Compositional Generalization in Object-Oriented World Modeling.

Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L. S. Wong

Proceedings of the International Conference on Machine Learning, 2022

2021

Natural Language for Human-Robot Collaboration: Problems Beyond Language Grounding.

Seth Pate, Wei Xu, Ziyi Yang, Maxwell Love, Siddarth Ganguri, Lawson L. S. Wong

CoRR, 2021

Bad-Policy Density: A Measure of Reinforcement Learning Hardness.

David Abel, Cameron Allen, Dilip Arumugam, D. Ellis Hershkowitz, Michael L. Littman, Lawson L. S. Wong

CoRR, 2021

Action Priors for Large Action Spaces in Robotics.

Ondrej Biza, Dian Wang, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Learning discrete state abstractions with deep variational inference.

Ondrej Biza, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong

CoRR, 2020

Deep Imitation Learning for Bimanual Robotic Manipulation.

Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L. S. Wong, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps.

Chengguang Xu, Christopher Amato, Lawson L. S. Wong

Proceedings of the 4th Conference on Robot Learning, 2020

2019

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

Auton. Robots, 2019

Multi-Object Search using Object-Oriented POMDPs.

Arthur Wandzel, Yoonseon Oh, Michael Fishman, Nishanth Kumar, Lawson L. S. Wong, Stefanie Tellex

Proceedings of the International Conference on Robotics and Automation, 2019

State Abstraction as Compression in Apprenticeship Learning.

David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications.

Nakul Gopalan, Dilip Arumugam, Lawson L. S. Wong, Stefanie Tellex

Proceedings of the Robotics: Science and Systems XIV, 2018

Learning Abstractions by Transferring Abstract Policies to Grounded State Spaces.

Lawson L. S. Wong

Proceedings of the 2018 AAAI Spring Symposia, 2018

2017

Latent Attention Networks.

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

CoRR, 2017

Learning the state of the world: object-based world modeling for mobile manipulation robots.

Lawson L. S. Wong

AI Matters, 2017

Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities.

Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex

Proceedings of the Robotics: Science and Systems XIII, 2017

Reducing errors in object-fetching interactions through social feedback.

David Whitney, Eric Rosen, James MacGlashan, Lawson L. S. Wong, Stefanie Tellex

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

A Tale of Two DRAGGNs: A Hybrid Approach for Interpreting Action-Oriented and Goal-Oriented Instructions.

Siddharth Karamcheti, Edward C. Williams, Dilip Arumugam, Mina Rhee, Nakul Gopalan, Lawson L. S. Wong, Stefanie Tellex

Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016

Object-based world modeling for mobile-manipulation robots.

Lawson L. S. Wong

PhD thesis, 2016

Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures.

Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Searching for physical objects in partially known environments.

Xinkun Nie, Lawson L. S. Wong, Leslie Pack Kaelbling

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Data association for semantic world modeling from partial views.

Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Int. J. Robotics Res., 2015

2014

Not seeing is also believing: Combining object and metric spatial information.

Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments.

Lawson L. S. Wong

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Living and Searching in the World: Object-Based State Estimation for Mobile Robots.

Lawson L. S. Wong

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Manipulation-based active search for occluded objects.

Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Collision-free state estimation.

Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2008

Learning Grasp Strategies with Partial Shape Information.

Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

A Vision-Based System for Grasping Novel Objects in Cluttered Environments.

Ashutosh Saxena, Lawson L. S. Wong, Morgan Quigley, Andrew Y. Ng

Proceedings of the Robotics Research - The 13th International Symposium, 2007

2006

Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search.

Steven C. H. Hoi, Lawson L. S. Wong, Albert Lyu

Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006