Kurt Konolige

About

Kurt Konolige is a pioneering roboticist whose career spans foundational contributions to simultaneous localization and mapping (SLAM), computer vision, and autonomous navigation. Perhaps his most influential work is the g2o framework (2011), a general graph optimization system that has become a cornerstone tool in SLAM and bundle adjustment research, amassing nearly 2,000 citations and reshaping how practitioners approach nonlinear least-squares problems in robotics. His early work on incremental mapping of cyclic environments and distributed multirobot exploration helped define modern approaches to collaborative autonomous mapping, while his sparse pose adjustment algorithms made large-scale SLAM computationally tractable. Konolige's contributions extend beyond theoretical frameworks into practical robotics systems. His Office Marathon project demonstrated remarkable real-world robustness, guiding a robot through 26.2 miles of autonomous indoor navigation. He has also advanced visual-inertial SLAM through nonlinear optimization, texture-less object detection, and large-scale visual odometry for rough terrain. His co-development of the Yale-CMU-Berkeley dataset has provided the manipulation research community with a critical benchmarking resource. Across his career, Konolige has consistently bridged algorithmic innovation and real-world deployment, earning him a distinguished place among the most impactful researchers in autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   G<sup>2</sup>o: A general framework for graph optimization

   1,966 citations · 2011
2. 2
   Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

   1,190 citations · 2013
3. 3
   Incremental mapping of large cyclic environments

   562 citations · 2003
4. 4
   The Office Marathon: Robust navigation in an indoor office environment

   516 citations · 2010
5. 5
   Small Vision Systems: Hardware and Implementation

   457 citations · 1998
6. 6
   Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization

   424 citations · 2013
7. 7
   Efficient Sparse Pose Adjustment for 2D mapping

   395 citations · 2010
8. 8
   Yale-CMU-Berkeley dataset for robotic manipulation research

   373 citations · 2017
9. 9
   Large-Scale Visual Odometry for Rough Terrain

   362 citations · 2010
10. 10
    Distributed Multirobot Exploration and Mapping

    330 citations · 2006

Key Collaborators

Contact & Links