2026 Wolfram Burgard: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	136	85	82	6	6	740	99481

Research.com Recognitions

2026 - Research.com Computer Science in Germany Leader Award
2025 - Research.com Computer Science in Germany Leader Award
2023 - Research.com Computer Science in Germany Leader Award
2022 - Research.com Computer Science in Germany Leader Award
2015 - IEEE Fellow For contributions to mobile robot navigation and simultaneous localization and mapping
2014 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to mobile robot navigation and environment modeling.

Overview

Wolfram Burgard is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans multiple areas within computer science and engineering, with a focus on robotics and sensor-based localization.

Their work encompasses several main fields of study including:

Computer Science
Engineering

The subfields they specialize in cover:

Computer Vision and Pattern Recognition
Artificial Intelligence
Control and Systems Engineering
Aerospace Engineering
Automotive Engineering

The primary research topics addressed in their work include:

Robotics and Sensor-Based Localization
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Robot Manipulation and Learning
Advanced Image and Video Retrieval Techniques
Autonomous Vehicle Technology and Safety

Recent papers published by Wolfram Burgard feature a range of topics and venues. Notable recent publications include:

"Occupancy Grid Models for Robot Mapping in Changing Environments" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
"Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution" (2020), published in IEEE Robotics & Automation Magazine
"Localization for precision navigation in agricultural fields-Beyond crop row following" (2020), published in Journal of Field Robotics
"What Matters in Language Conditioned Robotic Imitation Learning Over Unstructured Data" (2022), published in IEEE Robotics and Automation Letters
"PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention" (2023), published in IEEE Robotics and Automation Letters

Frequent co-authors working alongside Burgard include:

Abhinav Valada
Tim Welschehold
Oier Mees
Niclas Vödisch
D. Büscher

Publication venues where they have contributed extensively are:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
IEEE Robotics & Automation Magazine
2022 International Conference on Robotics and Automation (ICRA)
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Awards received by Wolfram Burgard include:

IEEE Fellow (2015) for contributions to mobile robot navigation and simultaneous localization and mapping
German National Academy of Sciences Leopoldina (2014) for informatics
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2009) for significant contributions to mobile robot navigation and environment modeling

Best Publications

The dynamic window approach to collision avoidance

D. Fox;W. Burgard;S. Thrun

4492
Citations
A benchmark for the evaluation of RGB-D SLAM systems

Jrgen Sturm;Nikolas Engelhard;Felix Endres;Wolfram Burgard

4206
Citations
Deep learning with convolutional neural networks for EEG decoding and visualization.

Robin Tibor Schirrmeister;Jost Tobias Springenberg;Lukas Dominique Josef Fiederer;Martin Glasstetter

3270
Citations
OctoMap: an efficient probabilistic 3D mapping framework based on octrees

Armin Hornung;Kai M. Wurm;Maren Bennewitz;Cyrill Stachniss

3247
Citations
Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters

G. Grisetti;C. Stachniss;W. Burgard

3107
Citations
G 2 o: A general framework for graph optimization

Rainer Kummerle;Giorgio Grisetti;Hauke Strasdat;Kurt Konolige

2712
Citations
Robust Monte Carlo localization for mobile robots

Sebastian Thrun;Dieter Fox;Wolfram Burgard;Frank Dallaert

2683
Citations
Monte Carlo localization for mobile robots

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

2359
Citations
Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

Sebastian Thrun;Wolfram Burgard;Dieter Fox

2097
Citations
Monte Carlo localization: efficient position estimation for mobile robots

Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

1648
Citations
A Tutorial on Graph-Based SLAM

G Grisetti;R Kümmerle;C Stachniss;W Burgard

1617
Citations
Coordinated multi-robot exploration

W. Burgard;M. Moors;C. Stachniss;F.E. Schneider

1531
Citations
Markov localization for mobile robots in dynamic environments

Dieter Fox;Wolfram Burgard;Sebastian Thrun

1429
Citations
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

Sebastian Thrun;Wolfram Burgard;Dieter Fox

1315
Citations
Experiences with an interactive museum tour-guide robot

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

1181
Citations
MINERVA: a second-generation museum tour-guide robot

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

1137
Citations
Collaborative multi-robot exploration

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

1127
Citations
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling

G. Grisettiyz;C. Stachniss;W. Burgard

1114
Citations
A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping

S. Thrun;W. Burgard;D. Fox

1074
Citations
3-D Mapping With an RGB-D Camera

Felix Endres;Jurgen Hess;Jurgen Sturm;Daniel Cremers

1036
Citations
Monte Carlo Localization

Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

16
Citations
An Efficient Probabilistic 3D Mapping Framework Based on Octrees

Armin Hornung;Kai M. Wurm;Maren Bennewitz;Cyrill Stachniss

4
Citations

Frequent Co-Authors

Cyrill Stachniss University of Bonn

Sebastian Thrun Stanford University

Dieter Fox University of Washington

Giorgio Grisetti Sapienza University of Rome

Oliver Brock Technical University of Berlin

Armin B. Cremers University of Bonn

Maren Bennewitz University of Bonn

Dirk Schulz TU Dortmund University

Tonio Ball University of Freiburg

Jürgen Sturm Google (United States)

External Links

Wikipedia of Wolfram Burgard Personal website of Wolfram Burgard Google Scholar page

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