Burgard, Wolfram

Deep learning with convolutional neural networks for EEG decoding and visualization

Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F., Burgard, W., & Ball, T. (2017) · Human Brain Mapping

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 3,751

Robust Monte Carlo localization for mobile robots

Thrun, S., Fox, D., Burgard, W., & Dellaert, F. (2001) · Artificial Intelligence

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 1,809

A Tutorial on Graph-Based SLAM

Grisetti, G., Kummerle, R., Stachniss, C., & Burgard, W. (2010) · IEEE Intelligent Transportation Systems Magazine

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 1,345

Coordinated multi-robot exploration

Burgard, W., Moors, M., Stachniss, C., & Schneider, F. E. (2005) · IEEE Transactions on Robotics

Robotic Path Planning AlgorithmsOptimization and Search Problems

Cited by 1,177

Information Gain-based Exploration Using Rao-Blackwellized Particle Filters

Stachniss, C., Grisetti, G., & Burgard, W. (2005) · Robotics: Science and Systems I

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 542

Learning Motion Patterns of People for Compliant Robot Motion

Bennewitz, M., Burgard, W., Cielniak, G., & Thrun, S. (2005) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 399

Visual Language Maps for Robot Navigation

Huang, C., Mees, O., Zeng, A., & Burgard, W. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationMultimodal Machine Learning Applications

Cited by 376

Learning to Track with Object Permanence

Tokmakov, P., Li, J., Burgard, W., & Gaidon, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 226

Nonlinear Constraint Network Optimization for Efficient Map Learning

Grisetti, G., Stachniss, C., & Burgard, W. (2009) · IEEE Transactions on Intelligent Transportation Systems

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 222

Feature-Based Prediction of Trajectories for Socially Compliant Navigation

Kuderer, M., Kretzschmar, H., Sprunk, C., & Burgard, W. (2012) · Robotics: Science and Systems VIII

Evacuation and Crowd DynamicsRobotic Path Planning Algorithms

Cited by 214

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

AdapNet: Adaptive semantic segmentation in adverse environmental conditions

Valada, A., Vertens, J., Dhall, A., & Burgard, W. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 209

Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks

Mees, O., Hermann, L., Rosete-Beas, E., & Burgard, W. B. (2022) · IEEE Robotics and Automation Letters

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 189

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation

Werby, A., Huang, C., Büchner, M., Valada, A., & Burgard, W. (2024) · Robotics: Science and Systems XX

Robotics and Sensor-Based LocalizationRobot Manipulation and Learning

Cited by 124

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control

Zhang, J., Tai, L., Yun, P., Xiong, Y., Liu, M., Boedecker, J., & Burgard, W. (2019) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 109

What matters in language conditioned robotic imitation learning over unstructured data

Mees, O., Hermann, L., & Burgard, W. (2022) · IEEE Robotics and Automation Letters

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 77

SMSnet: Semantic motion segmentation using deep convolutional neural networks

Vertens, J., Valada, A., & Burgard, W. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 69

Nonlinear factor recovery for long-term SLAM

Mazuran, M., Burgard, W., & Tipaldi, G. D. (2016) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 63

Deep semantic classification for 3D LiDAR data

Dewan, A., Oliveira, G. L., & Burgard, W. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationAdvanced Neural Network Applications

Cited by 60

The limits and potentials of deep learning for robotics

Sünderhauf, N., Brock, O., Scheirer, W., Hadsell, R., Fox, D., Leitner, J., Upcroft, B., Abbeel, P., Burgard, W., Milford, M., et al. (2018) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

Unsupervised body scheme learning through self-perception

Sturm, J., Plagemann, C., & Burgard, W. (2008) · 2008 IEEE International Conference on Robotics and Automation

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 35

Collaborative Dynamic 3D Scene Graphs for Automated Driving

Greve, E., Büchner, M., Vödisch, N., Burgard, W., & Valada, A. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 32

Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation

Rofer, A., Bartels, G., Burgard, W., Valada, A., & Beetz, M. (2022) · IEEE Robotics and Automation Letters

Robot Manipulation and LearningRobotics and Sensor-Based Localization

Cited by 10