Matthew R. Walter

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 76

Top Venues

CoRR

ICRA

Robotics: Science and Systems

IROS

Publications

Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. ICLR (2024)
Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR (2024)
Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew R. Walter, Hongyuan Mei
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models. CoRR (2024)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. ICRA (2024)
Keziah Naggita, Matthew R. Walter, Avrim Blum
Learning Actionable Counterfactual Explanations in Large State Spaces. CoRR (2024)
Amy Phung, Gideon Billings, Andrea F. Daniele, Matthew R. Walter, Richard Camilli
Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation. CoRR (2023)
Takuma Yoneda, Tianchong Jiang, Gregory Shakhnarovich, Matthew R. Walter
6-DoF Stability Field via Diffusion Models. CoRR (2023)
Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRR (2023)
David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning. CoRR (2023)
Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. CoRR (2023)
Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
To the Noise and Back: Diffusion for Shared Autonomy. Robotics: Science and Systems (2023)
Charles B. Schaff, Audrey Sedal, Shiyao Ni, Matthew R. Walter
Sim-to-real transfer of co-optimized soft robot crawlers. Auton. Robots 47 (8) (2023)
Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States. CoRL (2023)
Takuma Yoneda, Jiading Fang, Peng Li, Huanyu Zhang, Tianchong Jiang, Shengjie Lin, Ben Picker, David Yunis, Hongyuan Mei, Matthew R. Walter
Statler: State-Maintaining Language Models for Embodied Reasoning. CoRR (2023)
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
Active Policy Improvement from Multiple Black-box Oracles. ICML (2023)
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen
Active Policy Improvement from Multiple Black-box Oracles. CoRR (2023)
Amy Phung, Gideon Billings, Andrea F. Daniele, Matthew R. Walter, Richard Camilli
Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation. Sci. Robotics 8 (81) (2023)
Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR (2023)
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback. NeurIPS (2023)
Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter
To the Noise and Back: Diffusion for Shared Autonomy. CoRR (2023)
Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. WACV (2022)
Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
Invariance Through Latent Alignment. Robotics: Science and Systems (2022)
Charles B. Schaff, Matthew R. Walter
N-LIMB: Neural Limb Optimization for Efficient Morphological Design. CoRR (2022)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. ICRA (2022)
Gideon Billings, Matthew R. Walter, Oscar Pizarro, Matthew Johnson-Roberson, Richard Camilli
Towards Automated Sample Collection and Return in Extreme Underwater Environments. Field Robotics 2 (1) (2022)
Charles B. Schaff, Audrey Sedal, Matthew R. Walter
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. Robotics: Science and Systems (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) (2022)
Matthew R. Walter, Siddharth Patki, Andrea F. Daniele, Ethan Fahnestock, Felix Duvallet, Sachithra Hemachandra, Jean Oh, Anthony Stentz, Nicholas Roy, Thomas M. Howard
Language Understanding for Field and Service Robots in a Priori Unknown Environments. Field Robotics 2 (1) (2022)
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, Jan Peters
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. 7 (1) (2022)
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, Maggie B. Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew R. Walter, Florian Jentsch, Nicholas Roy
An Intelligence Architecture for Grounded Language Communication with Field Robots. Field Robotics 2 (1) (2022)
Charles B. Schaff, Audrey Sedal, Matthew R. Walter
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. CoRR (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR (2022)
Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR (2021)
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, Jan Peters
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR (2021)
Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Falcon Z. Dai, Matthew R. Walter
Loop Estimator for Discounted Values in Markov Reward Processes. AAAI (2021)
Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie
Invariance Through Inference. CoRR (2021)
Matthew R. Walter, Siddharth Patki, Andrea F. Daniele, Ethan Fahnestock, Felix Duvallet, Sachithra Hemachandra, Jean Oh, Anthony Stentz, Nicholas Roy, Thomas M. Howard
Language Understanding for Field and Service Robots in a Priori Unknown Environments. CoRR (2021)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. CoRR (2021)
Takuma Yoneda, Charles B. Schaff, Takahiro Maeda, Matthew R. Walter
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge. CoRR (2021)
Jacob Arkin, Daehyung Park, Subhro Roy, Matthew R. Walter, Nicholas Roy, Thomas M. Howard, Rohan Paul
Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions. Int. J. Robotics Res. 39 (10-11) (2020)
Takuma Yoneda, Matthew R. Walter, Jason Naradowsky
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman. CoRR (2020)
Tri Huynh, Michael Maire, Matthew R. Walter
Multigrid Neural Memory. ICML (2020)
Charles B. Schaff, Matthew R. Walter
Residual Policy Learning for Shared Autonomy. CoRR (2020)
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, Andrea Censi
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. IROS (2020)
Charles B. Schaff, Matthew R. Walter
Residual Policy Learning for Shared Autonomy. Robotics: Science and Systems (2020)
Falcon Z. Dai, Matthew R. Walter
Loop estimator for discounted values in Markov reward processes. CoRR (2020)
Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. CoRR (2020)
Zachary W. Robertson, Matthew R. Walter
Concurrent Training Improves the Performance of Behavioral Cloning from Observation. CoRR (2020)
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, Andrea Censi
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. CoRR (2020)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA (2019)
Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. CoRL (2019)
Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. CoRR (2019)
Falcon Z. Dai, Matthew R. Walter
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. NeurIPS (2019)
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, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull
The AI Driving Olympics at NeurIPS 2018. CoRR (2019)
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
DIODE: A Dense Indoor and Outdoor DEpth Dataset. CoRR (2019)
Falcon Z. Dai, Matthew R. Walter
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. CoRR (2019)
Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. CoRR (2019)
Tri Huynh, Michael Maire, Matthew R. Walter
Multigrid Neural Memory. CoRR (2019)
Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. ICRA (2019)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR (2018)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR (2017)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly optimizing placement and inference for beacon-based localization. IROS (2017)
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
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands. CoRR (2017)
Jacob Arkin, Matthew R. Walter, Adrian Boteanu, Michael E. Napoli, Harel Biggie, Hadas Kress-Gazit, Thomas M. Howard
Contextual awareness: Understanding monologic natural language instructions for autonomous robots. RO-MAN (2017)
Dong-Ki Kim, Matthew R. Walter
Satellite image-based localization via learned embeddings. ICRA (2017)
Andrea F. Daniele, Mohit Bansal, Matthew R. Walter
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. HRI (2017)
Andrea F. Daniele, Thomas M. Howard, Matthew R. Walter
A Multiview Approach to Learning Articulated Motion Models. ISRR (2017)
Dong-Ki Kim, Matthew R. Walter
Satellite Image-based Localization via Learned Embeddings. CoRR (2017)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Coherent Dialogue with Attention-Based Language Models. AAAI (2017)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. HLT-NAACL (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Coherent Dialogue with Attention-based Language Models. CoRR (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. AAAI (2016)
Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz
Integrated Intelligence for Human-Robot Teams. ISER (2016)
Andrea F. Daniele, Mohit Bansal, Matthew R. Walter
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. CoRR (2016)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. CoRR (2015)
Istvan Chung, Oron Propp, Matthew R. Walter, Thomas M. Howard
On the performance of hierarchical distributed correspondence graphs for efficient symbol grounding of robot instructions. IROS (2015)
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, Brandon Luders, Nicholas Roy, Stefanie Tellex, Seth J. Teller
A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments. J. Field Robotics 32 (4) (2015)
Zhengyang Wu, Mohit Bansal, Matthew R. Walter
Articulated Motion Learning via Visual and Lingual Signals. CoRR (2015)
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. CoRR (2015)
Sachithra Hemachandra, Matthew R. Walter
Information-theoretic dialog to improve spatial-semantic representations. IROS (2015)
Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter
Accurate Vision-based Vehicle Localization using Satellite Imagery. CoRR (2015)
Sachithra Hemachandra, Felix Duvallet, Thomas M. Howard, Nicholas Roy, Anthony Stentz, Matthew R. Walter
Learning Models for Following Natural Language Directions in Unknown Environments. CoRR (2015)
Sachithra Hemachandra, Felix Duvallet, Thomas M. Howard, Nicholas Roy, Anthony Stentz, Matthew R. Walter
Learning models for following natural language directions in unknown environments. ICRA (2015)
Sudeep Pillai, Matthew R. Walter, Seth J. Teller
Learning Articulated Motions From Visual Demonstration. CoRR (2015)
Sachithra Hemachandra, Matthew R. Walter, Stefanie Tellex, Seth J. Teller
Learning spatial-semantic representations from natural language descriptions and scene classifications. ICRA (2014)
Sudeep Pillai, Matthew R. Walter, Seth J. Teller
Learning Articulated Motions From Visual Demonstration. Robotics: Science and Systems (2014)
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, Riad I. Hammoud, Sachithra Hemachandra, P. Ilardi, Claudia Pérez-D'Arpino, Sudeep Pillai, Andres Valenzuela, Cecilia Cantu, C. Dolan, I. Evans, S. Jorgensen, J. Kristeller, Julie A. Shah, Karl Iagnemma, Seth J. Teller
A summary of team MIT's approach to the virtual robotics challenge. ICRA (2014)
Matthew R. Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, Seth J. Teller
A framework for learning semantic maps from grounded natural language descriptions. Int. J. Robotics Res. 33 (9) (2014)
Felix Duvallet, Matthew R. Walter, Thomas M. Howard, Sachithra Hemachandra, Jean Oh, Seth J. Teller, Nicholas Roy, Anthony Stentz
Inferring Maps and Behaviors from Natural Language Instructions. ISER (2014)
Sachithra Hemachandra, Matthew R. Walter, Seth J. Teller
Information Theoretic Question Asking to Improve Spatial Semantic Representations. AAAI Fall Symposia (2014)
Matthew R. Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, Seth J. Teller
Learning Semantic Maps from Natural Language Descriptions. Robotics: Science and Systems (2013)
Sachithra Hemachandra, Ross Finman, Sudeep Pillai, Seth J. Teller, Matthew R. Walter
Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments. AAAI Spring Symposium: Designing Intelligent Robots (2012)
Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller
One-shot visual appearance learning for mobile manipulation. Int. J. Robotics Res. 31 (4) (2012)
Alejandro Perez, Sertac Karaman, Alexander C. Shkolnik, Emilio Frazzoli, Seth J. Teller, Matthew R. Walter
Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms. IROS (2011)
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy
Approaching the Symbol Grounding Problem with Probabilistic Graphical Models. AI Mag. 32 (4) (2011)
Sertac Karaman, Matthew R. Walter, Alejandro Perez, Emilio Frazzoli, Seth J. Teller
Anytime Motion Planning using the RRT. ICRA (2011)
Stefanie Tellex, Thomas Kollar, Steven Dickerson, Matthew R. Walter, Ashis Gopal Banerjee, Seth J. Teller, Nicholas Roy
Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation. AAAI (2011)
Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller
Appearance-based object reacquisition for mobile manipulation. CVPR Workshops (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Matthew R. Walter