| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P Becker, H Pandya, GHW Gebhardt, C Zhao, J Taylor, G Neumann arXiv preprint arXiv:1905.07357, 2019 | 126 | 2019 |
| Animal-in-the-loop: using interactive robotic conspecifics to study social behavior in animal groups T Landgraf, GHW Gebhardt, D Bierbach, P Romanczuk, L Musiolek, ... Annual Review of Control, Robotics, and Autonomous Systems 4 (1), 487-507, 2021 | 34 | 2021 |
| Learning Robust Policies for Object Manipulation with Robot Swarms GHW Gebhardt, K Daun, M Schnaubelt, G Neumann Proceedings of the IEEE International Conference on Robotics and Automation, 2018 | 30 | 2018 |
| The kernel Kalman rule: Efficient nonparametric inference by recursive least-squares and subspace projections GHW Gebhardt, A Kupcsik, G Neumann Machine Learning 108 (12), 2113-2157, 2019 | 25 | 2019 |
| The Kernel Kalman Rule–Efficient Nonparametric Inference with Recursive Least Squares GHW Gebhardt, A Kupcsik, G Neumann Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017 | 21 | 2017 |
| Learning to Assemble Objects with a Robot Swarm GHW Gebhardt, K Daun, M Schnaubelt, A Hendrich, D Kauth, G Neumann Proceedings of the 16th Conference on Autonomous Agents and MultiAgent …, 2017 | 9 | 2017 |
| Using M-Embeddings to Learn Control Strategies for Robot Swarms GHW Gebhardt, M Hüttenrauch, G Neumann | 7* | |
| Social competence improves the performance of biomimetic robots leading live fish M Maxeiner, M Hocke, HJ Moenck, GHW Gebhardt, N Weimar, L Musiolek, ... Bioinspiration & Biomimetics 18 (4), 045001, 2023 | 5 | 2023 |
| Learning Subspace Conditional Embedding Operators GHW Gebhardt, A Kupcsik, G Neumann Workshop on Large-Scale Kernel Learning at ICML, 2015 | 5 | 2015 |
| Socially competent robots: adaptation improves leadership performance in groups of live fish T Landgraf, HJ Moenck, GHW Gebhardt, N Weimar, M Hocke, M Maxeiner, ... arXiv preprint arXiv:2009.06633, 2020 | 3 | 2020 |
| The Kilobot Gym GHW Gebhardt, G Neumann ICRA 2018 Workshop, 3, 2018 | 2 | 2018 |
| Using mean embeddings for state estimation and reinforcement learning GHW Gebhardt Technische Universität Darmstadt, 2019 | 1 | 2019 |
| Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces GHW Gebhardt Intelligent Autonomous Systems, Technische Universität Darmstadt, 2014 | | 2014 |
| Learning Symbols for Hierarchical Control from Interaction: Controllability Control GHW Gebhardt Department of Computer Science, Freie Universität Berlin, 2011 | | 2011 |
| The kernel Kalman rule: efficient nonparametric inference with recursive least squares A Kupcsik, GHW Gebhardt, G Neumann University of Lincoln, 0 | | |
| Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces CJ Taylor, C Zhao, G Gebhardt, H Pandya, P Becker, G Neumann University of Lincoln, 0 | | |
| Learning to assemble objects with a robot swarm A Hendrich, D Kauth, GHW Gebhardt, K Daun, M Schnaubelt, G Neumann University of Lincoln, 0 | | |
| Robust learning of object assembly tasks with an invariant representation of robot swarms GHW Gebhardt, K Daun, M Schnaubelt, G Neumann University of Lincoln, 0 | | |
| Learning to Serve and Bounce a Ball S Amend, G Gebhardt | | |
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
