World's Best Scientists 2026 revealed!

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Computer Science

D-Index
77
Citations
32857
World Ranking
1242
National Ranking
659

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Frank Dellaert is affiliated with the Georgia Institute of Technology in the United States. Their research spans multiple fields, primarily focusing on computer science and engineering. Within these domains, their work concentrates on several subfields, including computer vision and pattern recognition, aerospace engineering, control and systems engineering, artificial intelligence, and biomedical engineering.

The main topics addressed in their scientific contributions include robotics and sensor-based localization, robotic path planning algorithms, advanced vision and imaging, computer graphics and visualization techniques, robotic locomotion and control, video surveillance and tracking methods, and robotic mechanisms and dynamics.

Frequent coauthors collaborating with Frank Dellaert include Gerry Chen, Varun Agrawal, Seth Hutchinson, Maurice Fallon, and Abhijit Kundu.

The most common publication venues for their work are:

  • arXiv (Cornell University)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent papers authored or coauthored by Frank Dellaert include:

  • "Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Factor Graphs: Exploiting Structure in Robotics," 2021, Annual Review of Control Robotics and Autonomous Systems
  • "Dynamically Controlled Environment Agriculture: Integrating Machine Learning and Mechanistic and Physiological Models for Sustainable Food Cultivation," 2021, ACS ES&T Engineering
  • "Deep IMU Bias Inference for Robust Visual-Inertial Odometry With Factor Graphs," 2022, IEEE Robotics and Automation Letters
  • "Neural Volume Rendering: NeRF And Beyond," 2020, arXiv (Cornell University)

Frank Dellaert has been recognized as an ACM Senior Member since 2009.

Best Publications

  • 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

  • Monte Carlo localization: efficient position estimation for mobile robots

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • iSAM2: Incremental smoothing and mapping using the Bayes tree

    Michael Kaess;Hordur Johannsson;Richard Roberts;Viorela Ila

  • On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • iSAM: Incremental Smoothing and Mapping

    M. Kaess;A. Ranganathan;F. Dellaert

  • Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing

    Frank Dellaert;Michael Kaess

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

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

  • MCMC-based particle filtering for tracking a variable number of interacting targets

    Zia Khan;T. Balch;F. Dellaert

  • Recognizing emotion in speech

    F. Dellaert;T. Polzin;A. Waibel

  • Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva

    Sebastian Thrun;Michael Beetz;Maren Bennewitz;Wolfram Burgard

  • Factor Graphs and GTSAM: A Hands-on Introduction

    Frank Dellaert

  • IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Particle Filters for Mobile Robot Localization

    Dieter Fox;Sebastian Thrun;Wolfram Burgard;Frank Dellaert

  • An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets

    Zia Khan;Tucker R. Balch;Frank Dellaert

  • Structure from motion without correspondence

    F. Dellaert;S.M. Seitz;C.E. Thorpe;S. Thrun

  • Factor Graphs for Robot Perception

    Frank Dellaert;Michael Kaess

  • The Expectation Maximization Algorithm

    Frank Dellaert

  • Using the CONDENSATION algorithm for robust, vision-based mobile robot localization

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

  • Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation

    Unknown

  • Supplementary Material to: IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Monte Carlo Localization

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

Frequent Co-Authors

Michael Kaess
Michael Kaess Carnegie Mellon University
Sebastian Thrun
Sebastian Thrun Stanford University
Tucker Balch
Tucker Balch Emory University
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Charles E. Thorpe
Charles E. Thorpe Carnegie Mellon University
Byron Boots
Byron Boots University of Washington
Dieter Fox
Dieter Fox University of Washington
Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign

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