| Learning robot motions with stable dynamical systems under diffeomorphic transformations K Neumann, JJ Steil Robotics and Autonomous Systems 70, 1-15, 2015 | 125 | 2015 |
| Neural learning of stable dynamical systems based on data-driven Lyapunov candidates K Neumann, A Lemme, JJ Steil 2013 IEEE/RSJ international conference on intelligent robots and systems …, 2013 | 75* | 2013 |
| Neural learning of vector fields for encoding stable dynamical systems A Lemme, K Neumann, RF Reinhart, JJ Steil Neurocomputing 141, 3-14, 2014 | 63 | 2014 |
| Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity K Neumann, JJ Steil Neurocomputing 102, 23-30, 2013 | 62 | 2013 |
| Reliable integration of continuous constraints into extreme learning machines K Neumann, M Rolf, JJ Steil International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2013 | 39 | 2013 |
| Neurally imprinted stable vector fields. A Lemme, K Neumann, RF Reinhart, JJ Steil ESANN, 2013 | 37 | 2013 |
| An active compliant control mode for interaction with a pneumatic soft robot JF Queißer, K Neumann, M Rolf, RF Reinhart, JJ Steil 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 32 | 2014 |
| A multi-level control architecture for the bionic handling assistant M Rolf, K Neumann, JF Queißer, RF Reinhart, A Nordmann, JJ Steil Advanced Robotics 29 (13), 847-859, 2015 | 31 | 2015 |
| Data-driven modeling of the ultrasonic softening effect for robust copper wire bonding A Unger, W Sextro, S Althoff, T Meyer, K Neumann, RF Reinhart, ... CIPS 2014; 8th International Conference on Integrated Power Electronics …, 2014 | 24 | 2014 |
| Batch intrinsic plasticity for extreme learning machines K Neumann, JJ Steil International conference on artificial neural networks, 339-346, 2011 | 24 | 2011 |
| Regularization by intrinsic plasticity and its synergies with recurrence for random projection methods K Neumann, C Emmerich, JJ Steil Scientific Research Publishing, 2012 | 17 | 2012 |
| Learning inverse kinematics for pose-constraint bi-manual movements K Neumann, M Rolf, JJ Steil, M Gienger International Conference on Simulation of Adaptive Behavior, 478-488, 2010 | 13 | 2010 |
| Reliability of Extreme Learning Machines K Neumann | 8 | 2014 |
| Intrinsic Plasticity via Natural Gradient Decent K Neumann, JJ Steil 20th European Symposium on Artificial Neural Networks, Computational …, 2012 | 7 | 2012 |
| Precision-focused reinforcement learning model for robotic object pushing L Bergmann, D Leins, R Haschke, K Neumann arXiv preprint arXiv:2411.08622, 2024 | 6 | 2024 |
| Maschinelles lernen in technischen systemen F Reinhart, K Neumann, W Aswolinskiy, J Steil, B Hammer Steigerung der Intelligenz mechatronischer Systeme, 73-118, 2018 | 4 | 2018 |
| Intrinsic plasticity via natural gradient descent with application to drift compensation K Neumann, C Strub, JJ Steil Neurocomputing 112, 26-33, 2013 | 4 | 2013 |
| Share-rl: Structured, interactive reinforcement learning for contact-rich industrial assembly tasks J Stranghöner, P Hartmann, M Braun, S Wrede, K Neumann arXiv preprint arXiv:2509.13949, 2025 | 3 | 2025 |
| End-to-End Low-Level Neural Control of an Industrial-Grade 6D Magnetic Levitation System P Hartmann, J Stranghöner, K Neumann arXiv preprint arXiv:2509.01388, 2025 | 1 | 2025 |
| MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics L Bergmann, C Grothues, K Neumann arXiv preprint arXiv:2511.16158, 2025 | | 2025 |
Jochen J. SteilGauss Robotics GmbH, CEO & Professor of Robotics, TU Braunschweig (on leave)Verified email at tu-braunschweig.de
