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2020 – today
- 2024
[j15]Amy Phung
, Gideon Billings, Andrea F. Daniele, Matthew R. Walter, Richard Camilli:
A Shared Autonomy System for Precise and Efficient Remote Underwater Manipulation. IEEE Trans. Robotics 40: 4147-4159 (2024)- [c58]Takeru Oba, Matthew R. Walter, Norimichi Ukita:
READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning. CVPR 2024: 17974-17984 - [c57]Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen:
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. ICLR 2024 - [c56]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: 15083-15091 - [i49]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 abs/2403.19913 (2024) - [i48]Keziah Naggita, Matthew R. Walter, Avrim Blum:
Learning Actionable Counterfactual Explanations in Large State Spaces. CoRR abs/2404.17034 (2024) - [i47]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 abs/2404.19221 (2024) - [i46]David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew R. Walter:
Approaching Deep Learning through the Spectral Dynamics of Weights. CoRR abs/2408.11804 (2024) - [i45]Luzhe Sun, Takuma Yoneda, Samuel Wheeler, Tianchong Jiang, Matthew R. Walter:
StackGen: Generating Stable Structures from Silhouettes via Diffusion. CoRR abs/2409.18098 (2024) - 2023
- [j14]Charles B. Schaff, Audrey Sedal, Shiyao Ni, Matthew R. Walter:
Sim-to-real transfer of co-optimized soft robot crawlers. Auton. Robots 47(8): 1195-1211 (2023) - [j13]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) - [c55]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: 3277-3291 - [c54]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. ICML 2023: 22320-22337 - [c53]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 - [c52]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 - [i44]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 abs/2302.03805 (2023) - [i43]Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter:
To the Noise and Back: Diffusion for Shared Autonomy. CoRR abs/2302.12244 (2023) - [i42]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 abs/2305.13307 (2023) - [i41]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. CoRR abs/2306.10259 (2023) - [i40]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 abs/2306.17840 (2023) - [i39]David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter:
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning. CoRR abs/2309.04459 (2023) - [i38]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 abs/2309.08555 (2023) - [i37]Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen:
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR abs/2310.01737 (2023) - [i36]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 abs/2310.13914 (2023) - [i35]Takuma Yoneda, Tianchong Jiang, Gregory Shakhnarovich, Matthew R. Walter:
6-DoF Stability Field via Diffusion Models. CoRR abs/2310.17649 (2023) - 2022
- [j12]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): 468-512 (2022) - [j11]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): 1191-1231 (2022) - [j10]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): 1351-1385 (2022) - [j9]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): 478-485 (2022) - [c51]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: 245-262 - [c50]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. ICRA 2022: 8468-8475 - [c49]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 - [c48]Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Latent Alignment. Robotics: Science and Systems 2022 - [c47]Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi:
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. WACV 2022: 986-996 - [i34]Charles B. Schaff, Audrey Sedal, Matthew R. Walter:
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer. CoRR abs/2202.04575 (2022) - [i33]Charles B. Schaff, Matthew R. Walter:
N-LIMB: Neural Limb Optimization for Efficient Morphological Design. CoRR abs/2207.11773 (2022) - [i32]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 abs/2207.14287 (2022) - 2021
- [c46]Falcon Z. Dai, Matthew R. Walter:
Loop Estimator for Discounted Values in Markov Reward Processes. AAAI 2021: 7169-7175 - [c45]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 Roldan 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: 190-204 - [i31]Takuma Yoneda, Charles B. Schaff, Takahiro Maeda, Matthew R. Walter:
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge. CoRR abs/2101.02842 (2021) - [i30]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 abs/2105.02087 (2021) - [i29]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 abs/2105.10396 (2021) - [i28]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 abs/2109.10957 (2021) - [i27]Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter:
Self-Supervised Camera Self-Calibration from Video. CoRR abs/2112.03325 (2021) - [i26]Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie:
Invariance Through Inference. CoRR abs/2112.08526 (2021) - [i25]Gideon Billings, Matthew R. Walter, Oscar Pizarro, Matthew Johnson-Roberson, Richard Camilli:
Towards Automated Sample Collection and Return in Extreme Underwater Environments. CoRR abs/2112.15127 (2021) - 2020
- [j8]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) - [c44]Tri Huynh, Michael Maire, Matthew R. Walter:
Multigrid Neural Memory. ICML 2020: 4561-4571 - [c43]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: 6229-6236 - [c42]Charles B. Schaff, Matthew R. Walter:
Residual Policy Learning for Shared Autonomy. Robotics: Science and Systems 2020 - [i24]Falcon Z. Dai, Matthew R. Walter:
Loop estimator for discounted values in Markov reward processes. CoRR abs/2002.06299 (2020) - [i23]Charles B. Schaff, Matthew R. Walter:
Residual Policy Learning for Shared Autonomy. CoRR abs/2004.05097 (2020) - [i22]Zachary W. Robertson, Matthew R. Walter:
Concurrent Training Improves the Performance of Behavioral Cloning from Observation. CoRR abs/2008.01205 (2020) - [i21]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 abs/2009.04362 (2020) - [i20]Takuma Yoneda, Matthew R. Walter, Jason Naradowsky:
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman. CoRR abs/2009.05940 (2020) - [i19]Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi:
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation. CoRR abs/2011.11765 (2020)
2010 – 2019
- 2019
- [c41]Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter:
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. CoRL 2019: 1201-1210 - [c40]Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard:
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. ICRA 2019: 6926-6933 - [c39]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA 2019: 9798-9805 - [c38]Falcon Z. Dai, Matthew R. Walter:
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. NeurIPS 2019: 7677-7685 - [i18]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 abs/1903.02503 (2019) - [i17]Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard:
Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions. CoRR abs/1903.09243 (2019) - [i16]Tri Huynh, Michael Maire, Matthew R. Walter:
Multigrid Neural Memory. CoRR abs/1906.05948 (2019) - [i15]Falcon Z. Dai, Matthew R. Walter:
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards. CoRR abs/1907.02114 (2019) - [i14]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 abs/1908.00463 (2019) - [i13]Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter:
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments. CoRR abs/1910.10034 (2019) - 2018
- [i12]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR abs/1801.01432 (2018) - 2017
- [c37]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-Based Language Models. AAAI 2017: 3252-3258 - [c36]Andrea F. Daniele, Mohit Bansal, Matthew R. Walter:
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. HRI 2017: 109-118 - [c35]Dong-Ki Kim, Matthew R. Walter:
Satellite image-based localization via learned embeddings. ICRA 2017: 2073-2080 - [c34]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly optimizing placement and inference for beacon-based localization. IROS 2017: 6609-6616 - [c33]Andrea F. Daniele, Thomas M. Howard, Matthew R. Walter:
A Multiview Approach to Learning Articulated Motion Models. ISRR 2017: 371-386 - [c32]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: 502-509 - [i11]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR abs/1703.08612 (2017) - [i10]Dong-Ki Kim, Matthew R. Walter:
Satellite Image-based Localization via Learned Embeddings. CoRR abs/1704.01133 (2017) - [i9]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 abs/1712.01097 (2017) - 2016
- [c31]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. AAAI 2016: 2772-2778 - [c30]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 M. 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: 309-322 - [c29]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: 720-730 - [i8]Andrea F. Daniele, Mohit Bansal, Matthew R. Walter:
Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. CoRR abs/1610.03164 (2016) - [i7]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Coherent Dialogue with Attention-based Language Models. CoRR abs/1611.06997 (2016) - 2015
- [j7]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): 590-628 (2015) - [c28]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: 5608-5615 - [c27]Sachithra Hemachandra, Matthew R. Walter:
Information-theoretic dialog to improve spatial-semantic representations. IROS 2015: 5115-5121 - [c26]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: 5247-5252 - [i6]Sudeep Pillai, Matthew R. Walter, Seth J. Teller:
Learning Articulated Motions From Visual Demonstration. CoRR abs/1502.01659 (2015) - [i5]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 abs/1503.05079 (2015) - [i4]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. CoRR abs/1506.04089 (2015) - [i3]Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. CoRR abs/1509.00838 (2015) - [i2]Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter:
Accurate Vision-based Vehicle Localization using Satellite Imagery. CoRR abs/1510.09171 (2015) - [i1]Zhengyang Wu, Mohit Bansal, Matthew R. Walter:
Articulated Motion Learning via Visual and Lingual Signals. CoRR abs/1511.05526 (2015) - 2014
- [j6]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): 1167-1190 (2014) - [c25]Sachithra Hemachandra, Matthew R. Walter, Seth J. Teller:
Information Theoretic Question Asking to Improve Spatial Semantic Representations. AAAI Fall Symposia 2014 - [c24]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: 2087 - [c23]Sachithra Hemachandra, Matthew R. Walter, Stefanie Tellex, Seth J. Teller:
Learning spatial-semantic representations from natural language descriptions and scene classifications. ICRA 2014: 2623-2630 - [c22]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: 373-388 - [c21]Sudeep Pillai, Matthew R. Walter, Seth J. Teller:
Learning Articulated Motions From Visual Demonstration. Robotics: Science and Systems 2014 - 2013
- [c20]Matthew R. Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, Seth J. Teller:
Learning Semantic Maps from Natural Language Descriptions. Robotics: Science and Systems 2013 - 2012
- [j5]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): 554-567 (2012) - [c19]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 - 2011
- [j4]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): 64-76 (2011) - [c18]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: 1507-1514 - [c17]Sertac Karaman, Matthew R. Walter, Alejandro Perez, Emilio Frazzoli, Seth J. Teller:
Anytime Motion Planning using the RRT. ICRA 2011: 1478-1483 - [c16]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: 4307-4313 - 2010
- [c15]Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller:
Appearance-based object reacquisition for mobile manipulation. CVPR Workshops 2010: 1-8 - [c14]Andrew Correa, Matthew R. Walter, Luke Fletcher, Jim Glass, Seth J. Teller, Randall Davis:
Multimodal interaction with an autonomous forklift. HRI 2010: 243-250 - [c13]Seth J. Teller, Matthew R. Walter, Matthew E. Antone, Andrew Correa, Randall Davis, Luke Fletcher, Emilio Frazzoli, Jim Glass, Jonathan P. How, Albert S. Huang, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Tara N. Sainath:
A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. ICRA 2010: 526-533 - [c12]Olivier Koch, Matthew R. Walter, Albert S. Huang, Seth J. Teller:
Ground robot navigation using uncalibrated cameras. ICRA 2010: 2423-2430 - [c11]Matthew R. Walter, Sertac Karaman, Emilio Frazzoli, Seth J. Teller:
Closed-loop pallet manipulation in unstructured environments. IROS 2010: 5119-5126 - [c10]Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller:
Vision-Based Reacquisition for Task-Level Control. ISER 2010: 493-507
2000 – 2009
- 2009
- [c9]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, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams:
A Perception-Driven Autonomous Urban Vehicle. The DARPA Urban Challenge 2009: 163-230 - [c8]Alexander C. Shkolnik, Matthew R. Walter, Russ Tedrake:
Reachability-guided sampling for planning under differential constraints. ICRA 2009: 2859-2865 - [c7]Alexander Bahr, Matthew R. Walter, John J. Leonard:
Consistent cooperative localization. ICRA 2009: 3415-3422 - [c6]David C. Moore, Albert S. Huang, Matthew R. Walter, Edwin Olson, Luke Fletcher, John J. Leonard, Seth J. Teller:
Simultaneous local and global state estimation for robotic navigation. ICRA 2009: 3794-3799 - 2008
- [j3]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, David Moore, Edwin Olson, Steve Peters, Justin Teo, Robert Truax, Matthew R. Walter, David Barrett, Alexander Epstein, Keoni Maheloni, Katy Moyer, Troy Jones, Ryan Buckley, Matthew E. Antone, Robert Galejs, Siddhartha Krishnamurthy, Jonathan Williams:
A perception-driven autonomous urban vehicle. J. Field Robotics 25(10): 727-774 (2008) - [c5]Matthew R. Walter, Franz Hover, John J. Leonard:
SLAM for ship hull inspection using exactly sparse extended information filters. ICRA 2008: 1463-1470 - 2007
- [j2]Matthew R. Walter, Ryan Eustice, John J. Leonard:
Exactly Sparse Extended Information Filters for Feature-based SLAM. Int. J. Robotics Res. 26(4): 335-359 (2007) - 2006
- [j1]Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter:
Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters. Int. J. Robotics Res. 25(12): 1223-1242 (2006) - 2005
- [c4]Ryan Eustice, Matthew R. Walter, John J. Leonard:
Sparse extended information filters: insights into sparsification. IROS 2005: 3281-3288 - [c3]Matthew R. Walter, Ryan Eustice, John J. Leonard:
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters. ISRR 2005: 214-234 - [c2]Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter, Robert Ballard:
Visually Navigating the RMS Titanic with SLAM Information Filters. Robotics: Science and Systems 2005: 57-64 - [c1]Edwin Olson, Matthew R. Walter, Seth J. Teller, John J. Leonard:
Single-Cluster Spectral Graph Partitioning for Robotics Applications. Robotics: Science and Systems 2005: 265-272
Coauthor Index
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