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Computer Science
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2026
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USA
2026

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Computer Science

D-Index
130
Citations
80517
World Ranking
99
National Ranking
61

Electronics and Electrical Engineering

D-Index
121
Citations
74145
World Ranking
60
National Ranking
32

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - ACM Fellow For contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision
  • 2015 - IEEE Fellow For contributions to Bayesian state estimation and robotic perception

Overview

Dieter Fox is affiliated with the University of Washington in the United States and has published extensively in the fields of computer science and engineering. Their research primarily focuses on robotics, computer vision, and machine learning, with numerous contributions to robotic manipulation, reinforcement learning, and sensor-based localization.

Their recent publications include:

  • Deep Learning Approaches to Grasp Synthesis: A Review, 2023, IEEE Transactions on Robotics
  • PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking, 2021, IEEE Transactions on Robotics
  • Sim2Real in Robotics and Automation: Applications and Challenges, 2021, IEEE Transactions on Automation Science and Engineering
  • Unseen Object Instance Segmentation for Robotic Environments, 2021, IEEE Transactions on Robotics
  • CLIPort: What and Where Pathways for Robotic Manipulation, 2021, arXiv (Cornell University)

Their frequent co-authors include:

  • Arsalan Mousavian
  • Yashraj Narang
  • Fábio Ramos
  • Balakumar Sundaralingam
  • Chris Paxton

Dieter Fox has contributed to multiple publication venues with the highest number of publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Robotics
  • 2022 International Conference on Robotics and Automation (ICRA)

Their main fields of study are computer science and engineering. Within these areas, the subfields of focus include:

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

Dieter Fox's research topics cover a range of areas in robotics and machine learning, such as:

  • Robot Manipulation and Learning
  • Multimodal Machine Learning Applications
  • Reinforcement Learning in Robotics
  • Human Pose and Action Recognition
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications

Throughout their career, Dieter Fox has been recognized with awards including:

  • ACM Fellow, 2020, for contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision
  • IEEE Fellow, 2015, for contributions to Bayesian state estimation and robotic perception

Best Publications

  • The dynamic window approach to collision avoidance

    D. Fox;W. Burgard;S. Thrun

  • Robust Monte Carlo localization for mobile robots

    Sebastian Thrun;Dieter Fox;Wolfram Burgard;Frank Dallaert

  • Monte Carlo localization for mobile robots

    F. Dellaert;D. Fox;W. Burgard;S. Thrun

  • Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • A large-scale hierarchical multi-view RGB-D object dataset

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

    Yu Xiang;Tanner Schmidt;Venkatraman Narayanan;Dieter Fox

  • Monte Carlo localization: efficient position estimation for mobile robots

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • Markov localization for mobile robots in dynamic environments

    Dieter Fox;Wolfram Burgard;Sebastian Thrun

  • A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • Inferring activities from interactions with objects

    M. Philipose;K.P. Fishkin;M. Perkowitz;D.J. Patterson

  • Experiences with an interactive museum tour-guide robot

    Wolfram Burgard;Armin B. Cremers;Dieter Fox;Dirk Hähnel

  • Learning and inferring transportation routines

    Lin Liao;Donald J. Patterson;Dieter Fox;Henry Kautz

  • MINERVA: a second-generation museum tour-guide robot

    S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers

  • Collaborative multi-robot exploration

    W. Burgard;M. Moors;D. Fox;R. Simmons

  • Bayesian filtering for location estimation

    V. Fox;J. Hightower;Lin Liao;D. Schulz

  • A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping

    S. Thrun;W. Burgard;D. Fox

  • Mapping and localization with RFID technology

    D. Hahnel;W. Burgard;D. Fox;K. Fishkin

  • Monte Carlo Localization

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

Frequent Co-Authors

Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Sebastian Thrun
Sebastian Thrun Stanford University
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Xiaofeng Ren
Xiaofeng Ren Alibaba Group (China)
Dirk Schulz
Dirk Schulz TU Dortmund University
Armin B. Cremers
Armin B. Cremers University of Bonn
Henry Kautz
Henry Kautz University of Virginia
Byron Boots
Byron Boots University of Washington
Kurt Konolige
Kurt Konolige Google (United States)
Ali Farhadi
Ali Farhadi University of Washington

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