Matthew R. Walter

According to our database, Matthew R. Walter authored at least 86 papers between 2005 and 2024.

Collaborative distances:

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

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

2023

Sim-to-real transfer of co-optimized soft robot crawlers.

Charles B. Schaff, Audrey Sedal, Shiyao Ni, Matthew R. Walter

Auton. Robots, December, 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, August, 2023

6-DoF Stability Field via Diffusion Models.

Takuma Yoneda, Tianchong Jiang, Gregory Shakhnarovich, Matthew R. Walter

CoRR, 2023

Blending Imitation and Reinforcement Learning for Robust Policy Improvement.

Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen

CoRR, 2023

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning.

David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter

CoRR, 2023

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

CoRR, 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

To the Noise and Back: Diffusion for Shared Autonomy.

Takuma Yoneda, Luzhe Sun, Ge Yang, Bradly C. Stadie, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback.

Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew R. Walter

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

Active Policy Improvement from Multiple Black-box Oracles.

Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Conference on Robot Learning, 2023

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, March, 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, Maggie B. Wigness, Long Quang, Brandon Rothrock, Jeremy Nash, Matthew R. Walter, Florian Jentsch, Nicholas Roy

Field Robotics, March, 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, March, 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, Jan Peters

IEEE Robotics Autom. Lett., 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

N-LIMB: Neural Limb Optimization for Efficient Morphological Design.

Charles B. Schaff, Matthew R. Walter

CoRR, 2022

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.

Tri Huynh, Simon Kornblith, Matthew R. Walter, Michael Maire, Maryam Khademi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Invariance Through Latent Alignment.

Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer.

Charles B. Schaff, Audrey Sedal, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Self-Supervised Camera Self-Calibration from Video.

Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Depth Field Networks For Generalizable Multi-view Scene Representation.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Invariance Through Inference.

Takuma Yoneda, Ge Yang, Matthew R. Walter, Bradly C. Stadie

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, 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

CoRR, 2021

Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge.

Takuma Yoneda, Charles B. Schaff, Takahiro Maeda, Matthew R. Walter

CoRR, 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, 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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Loop Estimator for Discounted Values in Markov Reward Processes.

Falcon Z. Dai, Matthew R. Walter

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman.

Takuma Yoneda, Matthew R. Walter, Jason Naradowsky

CoRR, 2020

Concurrent Training Improves the Performance of Behavioral Cloning from Observation.

Zachary W. Robertson, Matthew R. Walter

CoRR, 2020

Residual Policy Learning for Shared Autonomy.

Charles B. Schaff, Matthew R. Walter

Proceedings of the Robotics: Science and Systems XVI, 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, Andrea Censi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multigrid Neural Memory.

Tri Huynh, Michael Maire, Matthew R. Walter

Proceedings of the 37th International Conference on Machine Learning, 2020

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

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, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull

CoRR, 2019

Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards.

Falcon Z. Dai, Matthew R. Walter

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the International Conference on Robotics and Automation, 2019

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions.

Siddharth Patki, Andrea F. Daniele, Matthew R. Walter, Thomas M. Howard

Proceedings of the International Conference on Robotics and Automation, 2019

Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments.

Siddharth Patki, Ethan Fahnestock, Thomas M. Howard, Matthew R. Walter

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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

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

Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

A Multiview Approach to Learning Articulated Motion Models.

Andrea F. Daniele, Thomas M. Howard, Matthew R. Walter

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Jointly optimizing placement and inference for beacon-based localization.

Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Satellite image-based localization via learned embeddings.

Dong-Ki Kim, Matthew R. Walter

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

Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation.

Andrea F. Daniele, Mohit Bansal, Matthew R. Walter

Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Coherent Dialogue with Attention-Based Language Models.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the NAACL HLT 2016, 2016

Integrated Intelligence for Human-Robot Teams.

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

Proceedings of the International Symposium on Experimental Robotics, 2016

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.

Hongyuan Mei, Mohit Bansal, Matthew R. Walter

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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, Brandon Luders, Nicholas Roy, Stefanie Tellex, Seth J. Teller

J. Field Robotics, 2015

Articulated Motion Learning via Visual and Lingual Signals.

Zhengyang Wu, Mohit Bansal, Matthew R. Walter

CoRR, 2015

Accurate Vision-based Vehicle Localization using Satellite Imagery.

Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter

CoRR, 2015

Information-theoretic dialog to improve spatial-semantic representations.

Sachithra Hemachandra, Matthew R. Walter

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning models for following natural language directions in unknown environments.

Sachithra Hemachandra, Felix Duvallet, Thomas M. Howard, Nicholas Roy, Anthony Stentz, Matthew R. Walter

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

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 Articulated Motions From Visual Demonstration.

Sudeep Pillai, Matthew R. Walter, Seth J. Teller

Proceedings of the Robotics: Science and Systems X, 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

Proceedings of the Experimental Robotics, 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, 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

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

Learning spatial-semantic representations from natural language descriptions and scene classifications.

Sachithra Hemachandra, Matthew R. Walter, Stefanie Tellex, Seth J. Teller

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

Information Theoretic Question Asking to Improve Spatial Semantic Representations.

Sachithra Hemachandra, Matthew R. Walter, Seth J. Teller

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013

Learning Semantic Maps from Natural Language Descriptions.

Matthew R. Walter, Sachithra Hemachandra, Bianca Homberg, Stefanie Tellex, Seth J. Teller

Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

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

Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments.

Sachithra Hemachandra, Ross Finman, Sudeep Pillai, Seth J. Teller, Matthew R. Walter

Proceedings of the Designing Intelligent Robots, 2012

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

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

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Anytime Motion Planning using the RRT.

Sertac Karaman, Matthew R. Walter, Alejandro Perez, Emilio Frazzoli, Seth J. Teller

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

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

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Vision-Based Reacquisition for Task-Level Control.

Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller

Proceedings of the Experimental Robotics, 2010

Closed-loop pallet manipulation in unstructured environments.

Matthew R. Walter, Sertac Karaman, Emilio Frazzoli, Seth J. Teller

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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, Jonathan P. How, Albert S. Huang, Jeong hwan Jeon, Sertac Karaman, Brandon Luders, Nicholas Roy, Tara N. Sainath

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Ground robot navigation using uncalibrated cameras.

Olivier Koch, Matthew R. Walter, Albert S. Huang, Seth J. Teller

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Multimodal interaction with an autonomous forklift.

Andrew Correa, Matthew R. Walter, Luke Fletcher, Jim Glass, Seth J. Teller, Randall Davis

Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

Appearance-based object reacquisition for mobile manipulation.

Matthew R. Walter, Yuli Friedman, Matthew E. Antone, Seth J. Teller

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Reachability-guided sampling for planning under differential constraints.

Alexander C. Shkolnik, Matthew R. Walter, Russ Tedrake

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 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

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Consistent cooperative localization.

Alexander Bahr, Matthew R. Walter, John J. Leonard

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

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, 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

J. Field Robotics, 2008

SLAM for ship hull inspection using exactly sparse extended information filters.

Matthew R. Walter, Franz Hover, John J. Leonard

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Exactly Sparse Extended Information Filters for Feature-based SLAM.

Matthew R. Walter, Ryan Eustice, John J. Leonard

Int. J. Robotics Res., 2007

2006

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

2005

Single-Cluster Spectral Graph Partitioning for Robotics Applications.

Edwin Olson, Matthew R. Walter, Seth J. Teller, John J. Leonard

Proceedings of the Robotics: Science and Systems I, 2005

Visually Navigating the RMS Titanic with SLAM Information Filters.

Ryan Eustice, Hanumant Singh, John J. Leonard, Matthew R. Walter, Robert Ballard

Proceedings of the Robotics: Science and Systems I, 2005

A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters.

Matthew R. Walter, Ryan Eustice, John J. Leonard

Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Sparse extended information filters: insights into sparsification.

Ryan Eustice, Matthew R. Walter, John J. Leonard

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005