Sparse extended information filters: insights into sparsification. - Ryan Eustice; Matthew R. Walter; John J. Leonard (IROS, 2005)

A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters. - Matthew R. Walter; Ryan Eustice; John J. Leonard (ISRR, 2005)

Visually Navigating the RMS Titanic with SLAM Information Filters. - Ryan Eustice; Hanumant Singh; John J. Leonard; Matthew R. Walter; Robert Ballard (Robotics: Science and Systems, 2005)

Single-Cluster Spectral Graph Partitioning for Robotics Applications. - Edwin Olson; Matthew R. Walter; Seth J. Teller; John J. Leonard (Robotics: Science and Systems, 2005)

Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters. - Ryan Eustice; Hanumant Singh; John J. Leonard; Matthew R. Walter (Int. J. Robotics Res., 2006)

Exactly Sparse Extended Information Filters for Feature-based SLAM. - Matthew R. Walter; Ryan Eustice; John J. Leonard (Int. J. Robotics Res., 2007)

SLAM for ship hull inspection using exactly sparse extended information filters. - Matthew R. Walter; Franz Hover; John J. Leonard (ICRA, 2008)

A perception-driven autonomous urban vehicle. - John J. Leonard; Jonathan P. How; Seth J. Teller; Mitch Berger; Stefan Campbell; Gaston A. Fiore; Luke Fletcher; Emilio Frazzoli; Albert S. Huang; Sertac Karaman; Olivier Koch; Yoshiaki Kuwata; et al. (J. Field Robotics, 2008)

Consistent cooperative localization. - Alexander Bahr; Matthew R. Walter; John J. Leonard (ICRA, 2009)

Simultaneous local and global state estimation for robotic navigation. - David C. Moore; Albert S. Huang; Matthew R. Walter; Edwin Olson; Luke Fletcher; John J. Leonard; Seth J. Teller (ICRA, 2009)

Reachability-guided sampling for planning under differential constraints. - Alexander C. Shkolnik; Matthew R. Walter; Russ Tedrake (ICRA, 2009)

Appearance-based object reacquisition for mobile manipulation. - Matthew R. Walter; Yuli Friedman; Matthew E. Antone; Seth J. Teller (CVPR Workshops, 2010)

Multimodal interaction with an autonomous forklift. - Andrew Correa; Matthew R. Walter; Luke Fletcher; Jim Glass 001; Seth J. Teller; Randall Davis (HRI, 2010)

Ground robot navigation using uncalibrated cameras. - Olivier Koch; Matthew R. Walter; Albert S. Huang; Seth J. Teller (ICRA, 2010)

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. - Seth J. Teller; Matthew R. Walter; Matthew E. Antone; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Jim Glass 001; Jonathan P. How; Albert S. Huang; Jeong hwan Jeon; Sertac Karaman; et al. (ICRA, 2010)

Closed-loop pallet manipulation in unstructured environments. - Matthew R. Walter; Sertac Karaman; Emilio Frazzoli; Seth J. Teller (IROS, 2010)

Vision-Based Reacquisition for Task-Level Control. - Matthew R. Walter; Yuli Friedman; Matthew E. Antone; Seth J. Teller (ISER, 2010)

Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. - Stefanie Tellex; Thomas Kollar; Steven Dickerson; Matthew R. Walter; Ashis Gopal Banerjee; Seth J. Teller; Nicholas Roy (AAAI, 2011)

Anytime Motion Planning using the RRT. - Sertac Karaman; Matthew R. Walter; Alejandro Perez; Emilio Frazzoli; Seth J. Teller (ICRA, 2011)

Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms. - Alejandro Perez; Sertac Karaman; Alexander C. Shkolnik; Emilio Frazzoli; Seth J. Teller; Matthew R. Walter (IROS, 2011)

Approaching the Symbol Grounding Problem with Probabilistic Graphical Models. - Stefanie Tellex; Thomas Kollar; Steven Dickerson; Matthew R. Walter; Ashis Gopal Banerjee; Seth J. Teller; Nicholas Roy (AI Mag., 2011)

Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments. - Sachithra Hemachandra; Ross Finman; Sudeep Pillai; Seth J. Teller; Matthew R. Walter (AAAI Spring Symposium: Designing Intelligent Robots, 2012)

One-shot visual appearance learning for mobile manipulation. - Matthew R. Walter; Yuli Friedman; Matthew E. Antone; Seth J. Teller (Int. J. Robotics Res., 2012)

Learning Semantic Maps from Natural Language Descriptions. - Matthew R. Walter; Sachithra Hemachandra; Bianca Homberg; Stefanie Tellex; Seth J. Teller (Robotics: Science and Systems, 2013)

Information Theoretic Question Asking to Improve Spatial Semantic Representations. - Sachithra Hemachandra; Matthew R. Walter; Seth J. Teller (AAAI Fall Symposia, 2014)

Learning spatial-semantic representations from natural language descriptions and scene classifications. - Sachithra Hemachandra; Matthew R. Walter; Stefanie Tellex; Seth J. Teller (ICRA, 2014)

A summary of team MIT's approach to the virtual robotics challenge. - Russ Tedrake; Maurice F. Fallon; Sisir Karumanchi; Scott Kuindersma; Matthew E. Antone; Toby Schneider; Thomas M. Howard; Matthew R. Walter; Hongkai Dai; Robin Deits; Michael Fleder; Dehann Fourie; et al. (ICRA, 2014)

Inferring Maps and Behaviors from Natural Language Instructions. - Felix Duvallet; Matthew R. Walter; Thomas M. Howard; Sachithra Hemachandra; Jean Oh; Seth J. Teller; Nicholas Roy; Anthony Stentz (ISER, 2014)

Learning Articulated Motions From Visual Demonstration. - Sudeep Pillai; Matthew R. Walter; Seth J. Teller (Robotics: Science and Systems, 2014)

A framework for learning semantic maps from grounded natural language descriptions. - Matthew R. Walter; Sachithra Hemachandra; Bianca Homberg; Stefanie Tellex; Seth J. Teller (Int. J. Robotics Res., 2014)

Learning models for following natural language directions in unknown environments. - Sachithra Hemachandra; Felix Duvallet; Thomas M. Howard; Nicholas Roy; Anthony Stentz; Matthew R. Walter (ICRA, 2015)

On the performance of hierarchical distributed correspondence graphs for efficient symbol grounding of robot instructions. - Istvan Chung; Oron Propp; Matthew R. Walter; Thomas M. Howard (IROS, 2015)

Information-theoretic dialog to improve spatial-semantic representations. - Sachithra Hemachandra; Matthew R. Walter (IROS, 2015)

Accurate Vision-based Vehicle Localization using Satellite Imagery. - Hang Chu; Hongyuan Mei; Mohit Bansal; Matthew R. Walter (CoRR, 2015)

Articulated Motion Learning via Visual and Lingual Signals. - Zhengyang Wu 003; Mohit Bansal; Matthew R. Walter (CoRR, 2015)

A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments. - Matthew R. Walter; Matthew E. Antone; Ekapol Chuangsuwanich; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Yuli Friedman; James R. Glass; Jonathan P. How; Jeong hwan Jeon; Sertac Karaman; et al. (J. Field Robotics, 2015)

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. - Hongyuan Mei; Mohit Bansal; Matthew R. Walter (AAAI, 2016)

Integrated Intelligence for Human-Robot Teams. - Jean Oh; Thomas M. Howard; Matthew R. Walter; Daniel Barber; Menglong Zhu; Sangdon Park 001; Arne Suppé; Luis E. Navarro-Serment; Felix Duvallet; Abdeslam Boularias; Oscar J. Romero; Jerry Vinokurov; et al. (ISER, 2016)

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. - Hongyuan Mei; Mohit Bansal; Matthew R. Walter (HLT-NAACL, 2016)

Coherent Dialogue with Attention-Based Language Models. - Hongyuan Mei; Mohit Bansal; Matthew R. Walter (AAAI, 2017)

Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. - Andrea F. Daniele; Mohit Bansal; Matthew R. Walter (HRI, 2017)

Satellite image-based localization via learned embeddings. - Dong-Ki Kim; Matthew R. Walter (ICRA, 2017)

Jointly optimizing placement and inference for beacon-based localization. - Charles B. Schaff; David Yunis; Ayan Chakrabarti; Matthew R. Walter (IROS, 2017)

A Multiview Approach to Learning Articulated Motion Models. - Andrea F. Daniele; Thomas M. Howard; Matthew R. Walter (ISRR, 2017)

Contextual awareness: Understanding monologic natural language instructions for autonomous robots. - Jacob Arkin; Matthew R. Walter; Adrian Boteanu; Michael E. Napoli; Harel Biggie; Hadas Kress-Gazit; Thomas M. Howard (RO-MAN, 2017)

Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands. - Thomas Kollar; Stefanie Tellex; Matthew R. Walter; Albert Huang; Abraham Bachrach; Sachithra Hemachandra; Emma Brunskill; Ashis Gopal Banerjee; Deb Roy; Seth J. Teller; Nicholas Roy (CoRR, 2017)

Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. - Siddharth Patki; Ethan Fahnestock; Thomas M. Howard; Matthew R. Walter (CoRL, 2019)

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. - Siddharth Patki; Andrea F. Daniele; Matthew R. Walter; Thomas M. Howard (ICRA, 2019)

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. - Charles B. Schaff; David Yunis; Ayan Chakrabarti; Matthew R. Walter (ICRA, 2019)

Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. - Falcon Z. Dai; Matthew R. Walter (NeurIPS, 2019)

The AI Driving Olympics at NeurIPS 2018. - Julian G. Zilly; Jacopo Tani; Breandan Considine; Bhairav Mehta; Andrea F. Daniele; Manfred Diaz; Gianmarco Bernasconi; Claudio Ruch; Jan Hakenberg; Florian Golemo; A. Kirsten Bowser; Matthew R. Walter; et al. (CoRR, 2019)

DIODE: A Dense Indoor and Outdoor DEpth Dataset. - Igor Vasiljevic; Nicholas I. Kolkin; Shanyi Zhang; Ruotian Luo; Haochen Wang; Falcon Z. Dai; Andrea F. Daniele; Mohammadreza Mostajabi; Steven Basart; Matthew R. Walter; Gregory Shakhnarovich (CoRR, 2019)

Multigrid Neural Memory. - Tri Huynh; Michael Maire; Matthew R. Walter (ICML, 2020)

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. - Jacopo Tani; Andrea F. Daniele; Gianmarco Bernasconi; Amaury Camus; Aleksandar Petrov; Anthony Courchesne; Bhairav Mehta; Rohit Suri; Tomasz Zaluska; Matthew R. Walter; Emilio Frazzoli; Liam Paull; et al. (IROS, 2020)

Residual Policy Learning for Shared Autonomy. - Charles B. Schaff; Matthew R. Walter (Robotics: Science and Systems, 2020)

Concurrent Training Improves the Performance of Behavioral Cloning from Observation. - Zachary W. Robertson; Matthew R. Walter (CoRR, 2020)

Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman. - Takuma Yoneda; Matthew R. Walter; Jason Naradowsky (CoRR, 2020)

Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions. - Jacob Arkin; Daehyung Park; Subhro Roy; Matthew R. Walter; Nicholas Roy; Thomas M. Howard; Rohan Paul (Int. J. Robotics Res., 2020)

Loop Estimator for Discounted Values in Markov Reward Processes. - Falcon Z. Dai; Matthew R. Walter (AAAI, 2021)

Real Robot Challenge: A Robotics Competition in the Cloud. - Stefan Bauer; Manuel Wüthrich; Felix Widmaier; Annika Buchholz; Sebastian Stark; Anirudh Goyal; Thomas Steinbrenner; Joel Akpo; Shruti Joshi; Vincent Berenz; Vaibhav Agrawal; Niklas Funk; et al. (NeurIPS (Competition and Demos), 2021)

Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge. - Takuma Yoneda; Charles B. Schaff; Takahiro Maeda 001; Matthew R. Walter (CoRR, 2021)

A Robot Cluster for Reproducible Research in Dexterous Manipulation. - Stefan Bauer; Felix Widmaier; Manuel Wüthrich; Niklas Funk; Julen Urain De Jesus; Jan Peters 001; Joe Watson; Claire Chen; Krishnan Srinivasan; Junwu Zhang; Jeffrey Zhang 005; Matthew R. Walter; et al. (CoRR, 2021)

Invariance Through Inference. - Takuma Yoneda; Ge Yang 003; Matthew R. Walter; Bradly C. Stadie (CoRR, 2021)

Depth Field Networks For Generalizable Multi-view Scene Representation. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rare Ambru; Greg Shakhnarovich; Matthew R. Walter; Adrien Gaidon (ECCV (32), 2022)

Self-Supervised Camera Self-Calibration from Video. - Jiading Fang; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon; Matthew R. Walter (ICRA, 2022)

Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. - Charles B. Schaff; Audrey Sedal; Matthew R. Walter (Robotics: Science and Systems, 2022)

Invariance Through Latent Alignment. - Takuma Yoneda; Ge Yang 003; Matthew R. Walter; Bradly C. Stadie (Robotics: Science and Systems, 2022)

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. - Tri Huynh; Simon Kornblith; Matthew R. Walter; Michael Maire; Maryam Khademi (WACV, 2022)

N-LIMB: Neural Limb Optimization for Efficient Morphological Design. - Charles B. Schaff; Matthew R. Walter (CoRR, 2022)

Depth Field Networks for Generalizable Multi-view Scene Representation. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Greg Shakhnarovich; Matthew R. Walter; Adrien Gaidon (CoRR, 2022)

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. - Niklas Funk; Charles B. Schaff; Rishabh Madan; Takuma Yoneda; Julen Urain De Jesus; Joe Watson; Ethan K. Gordon; Felix Widmaier; Stefan Bauer; Siddhartha S. Srinivasa; Tapomayukh Bhattacharjee; Matthew R. Walter; et al. (IEEE Robotics Autom. Lett., 2022)

Towards Automated Sample Collection and Return in Extreme Underwater Environments. - Gideon Billings; Matthew R. Walter; Oscar Pizarro; Matthew Johnson-Roberson; Richard Camilli (Field Robotics, 2022)

An Intelligence Architecture for Grounded Language Communication with Field Robots. - Thomas M. Howard; Ethan Stump; Jonathan Fink; Jacob Arkin; Rohan Paul; Daehyung Park; Subhro Roy; Daniel Barber; Rhyse Bendell; Karl Schmeckpeper; Junjiao Tian; Jean Oh; et al. (Field Robotics, 2022)

Language Understanding for Field and Service Robots in a Priori Unknown Environments. - Matthew R. Walter; Siddharth Patki; Andrea F. Daniele; Ethan Fahnestock; Felix Duvallet; Sachithra Hemachandra; Jean Oh; Anthony Stentz; Nicholas Roy; Thomas M. Howard (Field Robotics, 2022)

Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. - Zidan Wang; Takeru Oba; Takuma Yoneda; Rui Shen; Matthew R. Walter; Bradly C. Stadie (CoRL, 2023)

Active Policy Improvement from Multiple Black-box Oracles. - Xuefeng Liu; Takuma Yoneda; Chaoqi Wang; Matthew R. Walter; Yuxin Chen 001 (ICML, 2023)

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. - Han Shao; Lee Cohen 001; Avrim Blum; Yishay Mansour; Aadirupa Saha; Matthew R. Walter (NeurIPS, 2023)

To the Noise and Back: Diffusion for Shared Autonomy. - Takuma Yoneda; Luzhe Sun; Ge Yang 003; Bradly C. Stadie; Matthew R. Walter (Robotics: Science and Systems, 2023)

NeRFuser: Large-Scale Scene Representation by NeRF Fusion. - Jiading Fang; Shengjie Lin; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Adrien Gaidon; Gregory Shakhnarovich; Matthew R. Walter (CoRR, 2023)

6-DoF Stability Field via Diffusion Models. - Takuma Yoneda; Tianchong Jiang; Gregory Shakhnarovich; Matthew R. Walter (CoRR, 2023)

Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation. - Amy Phung; Gideon Billings; Andrea F. Daniele; Matthew R. Walter; Richard Camilli (Sci. Robotics, 2023)

Sim-to-real transfer of co-optimized soft robot crawlers. - Charles B. Schaff; Audrey Sedal; Shiyao Ni; Matthew R. Walter (Auton. Robots, 2023)

READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning. - Takeru Oba; Matthew R. Walter; Norimichi Ukita (CVPR, 2024)

Blending Imitation and Reinforcement Learning for Robust Policy Improvement. - Xuefeng Liu; Takuma Yoneda; Rick Stevens; Matthew R. Walter; Yuxin Chen 001 (ICLR, 2024)

Statler: State-Maintaining Language Models for Embodied Reasoning. - Takuma Yoneda; Jiading Fang; Peng Li; Huanyu Zhang; Tianchong Jiang; Shengjie Lin; Ben Picker; David Yunis; Hongyuan Mei; Matthew R. Walter (ICRA, 2024)

Transcrib3D: 3D Referring Expression Resolution through Large Language Models. - Jiading Fang; Xiangshan Tan; Shengjie Lin; Igor Vasiljevic; Vitor Guizilini; Hongyuan Mei; Rares Ambrus; Gregory Shakhnarovich; Matthew R. Walter (IROS, 2024)

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning. - David Yunis; Justin Jung; Falcon Z. Dai; Matthew R. Walter (NeurIPS, 2024)

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. - Peng Ding; Jiading Fang; Peng Li; Kangrui Wang; Xiaochen Zhou; Mo Yu; Jing Li; Matthew R. Walter; Hongyuan Mei (CoRR, 2024)

Approaching Deep Learning through the Spectral Dynamics of Weights. - David Yunis; Kumar Kshitij Patel; Samuel Wheeler; Pedro Savarese; Gal Vardi; Karen Livescu; Michael Maire; Matthew R. Walter (CoRR, 2024)

StackGen: Generating Stable Structures from Silhouettes via Diffusion. - Luzhe Sun; Takuma Yoneda; Samuel Wheeler; Tianchong Jiang; Matthew R. Walter (CoRR, 2024)

PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement. - Tewodros Ayalew; Xiao Zhang; Kevin Yuanbo Wu; Tianchong Jiang; Michael Maire; Matthew R. Walter (CoRR, 2024)

A Shared Autonomy System for Precise and Efficient Remote Underwater Manipulation. - Amy Phung; Gideon Billings; Andrea F. Daniele; Matthew R. Walter; Richard Camilli (IEEE Trans. Robotics, 2024)

Learning Actionable Counterfactual Explanations in Large State Spaces. - Keziah Naggita; Matthew R. Walter; Avrim Blum (Trans. Mach. Learn. Res., 2025)

Active Advantage-Aligned Online Reinforcement Learning with Offline Data. - Xuefeng Liu; Hung T. C. Le; Siyu Chen; Rick Stevens; Zhuoran Yang; Matthew R. Walter; Yuxin Chen 001 (CoRR, 2025)

From Vague Instructions to Task Plans: A Feedback-Driven HRC Task Planning Framework based on LLMs. - Afagh Mehri Shervedani; Matthew R. Walter; Milos Zefran (CoRR, 2025)

PAC Learning with Improvements. - Idan Attias; Avrim Blum; Keziah Naggita; Donya Saless; Dravyansh Sharma; Matthew R. Walter (CoRR, 2025)

FastMap: Revisiting Dense and Scalable Structure from Motion. - Jiahao Li; Haochen Wang; Muhammad Zubair Irshad; Igor Vasiljevic; Matthew R. Walter; Vitor Campagnolo Guizilini; Greg Shakhnarovich (CoRR, 2025)

FlashBack: Consistency Model-Accelerated Shared Autonomy. - Luzhe Sun; Jingtian Ji; Xiangshan Tan; Matthew R. Walter (CoRR, 2025)

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting. - Shengjie Lin; Jiading Fang; Muhammad Zubair Irshad; Vitor Campagnolo Guizilini; Rares Andrei Ambrus; Greg Shakhnarovich; Matthew R. Walter (CoRR, 2025)