World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
38256
World Ranking
1374
National Ranking
716

Research.com Recognitions

  • 1995 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For landmark contributions to nonmonotonic logic, reasoning about beliefs, and mobile robotics.

Overview

Kurt Konolige is affiliated with Google in the United States. Their research spans multiple fields including Computer Science, Neuroscience, and Engineering, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, and Control and Systems Engineering.

Their work addresses topics such as Reinforcement Learning in Robotics, Tactile and Sensory Interactions, Robot Manipulation and Learning, Advanced Vision and Imaging, Image Enhancement Techniques, and Advanced Image Processing Techniques.

Konolige's recent publications include the following papers:

  • The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels, 2021, arXiv (Cornell University)
  • The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels, 2021, arXiv (Cornell University)
  • What Matters in Unsupervised Optical Flow, 2020, Lecture notes in computer science

They have collaborated frequently with several authors, most notably:

  • Rico Jonschkowski
  • Austin Stone
  • Austin V. Stone
  • Oscar M. Ramirez
  • Jonathan T. Barron

The venues where their research has been published most frequently include:

  • arXiv (Cornell University)
  • Lecture notes in computer science

Konolige was recognized as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1995 for contributions to nonmonotonic logic, reasoning about beliefs, and mobile robotics.

Best Publications

  • ORB: An efficient alternative to SIFT or SURF

    Ethan Rublee;Vincent Rabaud;Kurt Konolige;Gary Bradski

  • G 2 o: A general framework for graph optimization

    Rainer Kummerle;Giorgio Grisetti;Hauke Strasdat;Kurt Konolige

  • Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

    Stefan Hinterstoisser;Vincent Lepetit;Slobodan Ilic;Stefan Holzer

  • CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching

    Motilal Agrawal;Kurt Konolige;Morten Rufus Blas

  • Small Vision Systems: Hardware and Implementation

    Kurt Konolige

  • Incremental mapping of large cyclic environments

    J.-S. Gutmann;K. Konolige

  • Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes

    Stefan Hinterstoisser;Stefan Holzer;Cedric Cagniart;Slobodan Ilic

  • FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping

    K. Konolige;M. Agrawal

  • The Office Marathon: Robust navigation in an indoor office environment

    Eitan Marder-Eppstein;Eric Berger;Tully Foote;Brian Gerkey

  • Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

    Konstantinos Bousmalis;Alex Irpan;Paul Wohlhart;Yunfei Bai

  • A deduction model of belief

    Kurt Konolige

  • Large-Scale Visual Odometry for Rough Terrain

    Kurt Konolige;Motilal Agrawal;Joan Solà

  • Distributed Multirobot Exploration and Mapping

    D. Fox;J. Ko;K. Konolige;B. Limketkai

  • On the relation between default and autoepistemic logic

    Kurt Konolige

  • Efficient Sparse Pose Adjustment for 2D mapping

    Kurt Konolige;Giorgio Grisetti;Rainer Kummerle;Wolfram Burgard

  • A multivalued logic approach to integrating planning and control

    Alessandro Saffiotti;Kurt Konolige;Enrique H. Ruspini

  • An experimental comparison of localization methods

    J.-S. Gutmann;W. Burgard;D. Fox;K. Konolige

  • Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS

    M. Agrawal;K. Konolige

  • Double window optimisation for constant time visual SLAM

    Hauke Strasdat;Andrew J. Davison;J.M.M. Montiel;Kurt Konolige

  • Point feature extraction on 3D range scans taking into account object boundaries

    Bastian Steder;Radu Bogdan Rusu;Kurt Konolige;Wolfram Burgard

  • Distributed Multi-Robot Exploration and Mapping

    D. Fox

Frequent Co-Authors

Dieter Fox
Dieter Fox University of Washington
Gary Bradski
Gary Bradski Stanford University
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Dirk Schulz
Dirk Schulz TU Dortmund University
Radu Bogdan Rusu
Radu Bogdan Rusu Fyusion, Inc
Cyrill Stachniss
Cyrill Stachniss University of Bonn
Luca Iocchi
Luca Iocchi Sapienza University of Rome
Nassir Navab
Nassir Navab Technical University of Munich

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