Matthew R. Walter

Orcid: 0000-0003-1425-6050

According to our database1, Matthew R. Walter authored at least 92 papers between 2005 and 2024.

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Bibliography

2024
A Shared Autonomy System for Precise and Efficient Remote Underwater Manipulation.
IEEE Trans. Robotics, 2024

StackGen: Generating Stable Structures from Silhouettes via Diffusion.
CoRR, 2024

Approaching Deep Learning through the Spectral Dynamics of Weights.
CoRR, 2024

Transcrib3D: 3D Referring Expression Resolution through Large Language Models.
CoRR, 2024

Learning Actionable Counterfactual Explanations in Large State Spaces.
CoRR, 2024

MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models.
CoRR, 2024

Statler: State-Maintaining Language Models for Embodied Reasoning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Blending Imitation and Reinforcement Learning for Robust Policy Improvement.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sim-to-real transfer of co-optimized soft robot crawlers.
Auton. Robots, December, 2023

Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation.
Sci. Robotics, August, 2023

6-DoF Stability Field via Diffusion Models.
CoRR, 2023

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning.
CoRR, 2023

NeRFuser: Large-Scale Scene Representation by NeRF Fusion.
CoRR, 2023

To the Noise and Back: Diffusion for Shared Autonomy.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback.
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.
Proceedings of the International Conference on Machine Learning, 2023

Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States.
Proceedings of the Conference on Robot Learning, 2023

2022
Language Understanding for Field and Service Robots in a Priori Unknown Environments.
Field Robotics, March, 2022

An Intelligence Architecture for Grounded Language Communication with Field Robots.
Field Robotics, March, 2022

Towards Automated Sample Collection and Return in Extreme Underwater Environments.
Field Robotics, March, 2022

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.
IEEE Robotics Autom. Lett., 2022

Depth Field Networks for Generalizable Multi-view Scene Representation.
CoRR, 2022

N-LIMB: Neural Limb Optimization for Efficient Morphological Design.
CoRR, 2022

Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Invariance Through Latent Alignment.
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.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Self-Supervised Camera Self-Calibration from Video.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Depth Field Networks For Generalizable Multi-view Scene Representation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Invariance Through Inference.
CoRR, 2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.
CoRR, 2021

Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge.
CoRR, 2021


Loop Estimator for Discounted Values in Markov Reward Processes.
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.
Int. J. Robotics Res., 2020

Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman.
CoRR, 2020

Concurrent Training Improves the Performance of Behavioral Cloning from Observation.
CoRR, 2020

Residual Policy Learning for Shared Autonomy.
Proceedings of the Robotics: Science and Systems XVI, 2020

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multigrid Neural Memory.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
DIODE: A Dense Indoor and Outdoor DEpth Dataset.
CoRR, 2019

The AI Driving Olympics at NeurIPS 2018.
CoRR, 2019

Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards.
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.
Proceedings of the International Conference on Robotics and Automation, 2019

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions.
Proceedings of the International Conference on Robotics and Automation, 2019

Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017
Generalized Grounding Graphs: A Probabilistic Framework for Understanding Grounded Commands.
CoRR, 2017

Contextual awareness: Understanding monologic natural language instructions for autonomous robots.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

A Multiview Approach to Learning Articulated Motion Models.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Jointly optimizing placement and inference for beacon-based localization.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Satellite image-based localization via learned embeddings.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Coherent Dialogue with Attention-Based Language Models.
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.
Proceedings of the NAACL HLT 2016, 2016


Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.
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.
J. Field Robotics, 2015

Articulated Motion Learning via Visual and Lingual Signals.
CoRR, 2015

Accurate Vision-based Vehicle Localization using Satellite Imagery.
CoRR, 2015

Information-theoretic dialog to improve spatial-semantic representations.
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.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Learning models for following natural language directions in unknown environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
A framework for learning semantic maps from grounded natural language descriptions.
Int. J. Robotics Res., 2014

Learning Articulated Motions From Visual Demonstration.
Proceedings of the Robotics: Science and Systems X, 2014

Inferring Maps and Behaviors from Natural Language Instructions.
Proceedings of the Experimental Robotics, 2014


Learning spatial-semantic representations from natural language descriptions and scene classifications.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Information Theoretic Question Asking to Improve Spatial Semantic Representations.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Learning Semantic Maps from Natural Language Descriptions.
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.
Int. J. Robotics Res., 2012

Towards Enabling a Robot to Effectively Assist People in Human-Occupied Environments.
Proceedings of the Designing Intelligent Robots, 2012

2011
Approaching the Symbol Grounding Problem with Probabilistic Graphical Models.
AI Mag., 2011

Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Anytime Motion Planning using the RRT.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Vision-Based Reacquisition for Task-Level Control.
Proceedings of the Experimental Robotics, 2010

Closed-loop pallet manipulation in unstructured environments.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Ground robot navigation using uncalibrated cameras.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Multimodal interaction with an autonomous forklift.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

Appearance-based object reacquisition for mobile manipulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Reachability-guided sampling for planning under differential constraints.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Simultaneous local and global state estimation for robotic navigation.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Consistent cooperative localization.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
A perception-driven autonomous urban vehicle.
J. Field Robotics, 2008

SLAM for ship hull inspection using exactly sparse extended information filters.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Exactly Sparse Extended Information Filters for Feature-based SLAM.
Int. J. Robotics Res., 2007

2006
Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters.
Int. J. Robotics Res., 2006

2005
Single-Cluster Spectral Graph Partitioning for Robotics Applications.
Proceedings of the Robotics: Science and Systems I, 2005

Visually Navigating the RMS Titanic with SLAM Information Filters.
Proceedings of the Robotics: Science and Systems I, 2005

A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Sparse extended information filters: insights into sparsification.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005


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