World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7090
World Ranking
10141
National Ranking
4274

Overview

Matthew R. Walter is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research spans multiple domains within computer science and engineering, with a focus on applied robotics and artificial intelligence.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Matthew's work is concentrated in the following subfields:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Mechanical Engineering
  • Aerospace Engineering

The main research topics covered by Matthew include:

  • Reinforcement Learning in Robotics
  • Multimodal Machine Learning Applications
  • Robot Manipulation and Learning
  • Topic Modeling
  • Advanced Vision and Imaging
  • Modular Robots and Swarm Intelligence
  • Robotic Path Planning Algorithms

Among the recent papers authored or co-authored by Matthew are:

  • "Boosting Contrastive Self-Supervised Learning with False Negative Cancellation" (2022), published at the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions" (2020), published in The International Journal of Robotics Research
  • "Self-Supervised Camera Self-Calibration from Video" (2022), presented at the 2022 International Conference on Robotics and Automation (ICRA)
  • "Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation" (2021), available via arXiv (Cornell University)
  • "Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation" (2023), published in Science Robotics

Frequently, Matthew collaborates with the following coauthors:

  • Takuma Yoneda
  • Jiading Fang
  • Charles Schaff
  • Igor Vasiljevic
  • Vitor Guizilini

In terms of publication venues, Matthew has contributed extensively to:

  • arXiv (Cornell University)
  • Field Robotics
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)

Best Publications

  • Anytime Motion Planning using the RRT

    Sertac Karaman;Matthew R. Walter;Alejandro Perez;Emilio Frazzoli

  • Understanding natural language commands for robotic navigation and mobile manipulation

    Stefanie Tellex;Thomas Kollar;Steven Dickerson;Matthew R. Walter

  • A perception-driven autonomous urban vehicle

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • A Perception Driven Autonomous Urban Robot

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Visually Navigating the RMS Titanic with SLAM Information Filters

    Ryan Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

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

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • Exactly Sparse Extended Information Filters for Feature-based SLAM

    Matthew R. Walter;Ryan M. Eustice;John J. Leonard

  • Consistent cooperative localization

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

  • Listen, attend, and walk: neural mapping of navigational instructions to action sequences

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters

    Ryan M. Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

  • Approaching the Symbol-Grounding Problem with Probabilistic Graphical Models

    Stefanie A. Tellex;Thomas Fleming Kollar;Steven R. Dickerson;Matthew R. Walter

  • Reachability-guided sampling for planning under differential constraints

    Alexander Shkolnik;Matthew Walter;Russ Tedrake

  • Learning Semantic Maps from Natural Language Descriptions.

    Matthew R. Walter;Sachithra Hemachandra;Bianca Homberg;Stefanie Tellex

  • Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.

    Tri Huynh;Simon Kornblith;Matthew R. Walter;Michael Maire

  • Sparse extended information filters: insights into sparsification

    R. Eustice;M. Walter;J. Leonard

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

    M. Walter;F. Hover;J. Leonard

  • Single-Cluster Spectral Graph Partitioning for Robotics Applications

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

  • Coherent Dialogue with Attention-Based Language Models

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments

    Seth Teller;Matthew R. Walter;Matthew Antone;Andrew Correa

  • Learning models for following natural language directions in unknown environments

    Sachithra Hemachandra;Felix Duvallet;Thomas M. Howard;Nicholas Roy

  • DIODE: A Dense Indoor and Outdoor DEpth Dataset.

    Igor Vasiljevic;Nicholas I. Kolkin;Shanyi Zhang;Ruotian Luo

  • Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms

    Alejandro Perez;Sertac Karaman;Alexander Shkolnik;Emilio Frazzoli

Frequent Co-Authors

Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Stefanie Tellex
Stefanie Tellex Brown University
Edwin Olson
Edwin Olson University of Michigan–Ann Arbor
Anthony Stentz
Anthony Stentz Carnegie Mellon University
Ryan M. Eustice
Ryan M. Eustice University of Michigan–Ann Arbor

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