Flatness based control of an industrial robot joint using secondary encoders J Weigand, N Gafur, M Ruskowski Robotics and Computer-Integrated Manufacturing 68, 102039, 2021 | 16 | 2021 |
Input-to-state stability for system identification with continuous-time Runge–Kutta neural networks J Weigand, M Deflorian, M Ruskowski International Journal of Control 96 (1), 24-40, 2023 | 6 | 2023 |
Neural adaptive control of a robot joint using secondary encoders J Weigand, M Volkmann, M Ruskowski Advances in Service and Industrial Robotics: Proceedings of the 28th …, 2020 | 5 | 2020 |
Dataset and baseline for an industrial robot identification benchmark J Weigand, J Götz, J Ulmen, M Ruskowski | 4 | 2023 |
Hybrid data-driven modelling for inverse control of hydraulic excavators J Weigand, J Raible, N Zantopp, O Demir, A Trachte, A Wagner, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 4 | 2021 |
State Derivative Normalization for Continuous-Time Deep Neural Networks J Weigand, GI Beintema, J Ulmen, D Görges, R Tóth, M Schoukens, ... arXiv preprint arXiv:2401.02902, 2024 | | 2024 |
Hybrid Continuous-Time Deep Neural Networks for Robot System Identification and Control JB Weigand Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023 | | 2023 |
Identifying a simulation model of an industrial robot A Retzler, R Tóth, GI Beintema, JP Noël, M Schoukens, J Weigand, ... 7th Edition of the Workshop on Nonlinear System Identification Benchmarks …, 2023 | | 2023 |
Augmented model identification for forward simulation of a robot arm A Retzler, R Tóth, J Swevers, JP Noël, Z Kollár, GI Beintema, J Weigand, ... Benelux Meeting on Systems and Control 2023, Location: Elspeet, The Netherlands, 2023 | | 2023 |
Roboter in der autonomen Produktion der Zukunft M Volkmann, J Weigand, M Ruskowski Sammelband Smart Factory, 2020 | | 2020 |