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Publikationen

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  1. Detection of Rare Fault Cases for Mobile Robot Applications

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 61-70, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  2. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  3. Jonas Weigand; Michael Deflorian; Martin Ruskowski

    Input-to-state stability for system identification with continuous-time Runge-Kutta neural networks

    In: International Journal of Control, Vol. 0, No. 0, Pages 1-17, Taylor & Francis, 11/2021.

  4. Jonas Weigand; Nigora Gafur; Martin Ruskowski

    Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders

    In: Robotics and Computer-Integrated Manufacturing, Vol. 68, Pages 1-13, Elsevier BV, 1/2021.

  5. Jonas Weigand; Julian Raible; Nico Zantopp; Ozan Demir; Adrian Trachte; Achim Wagner; Martin Ruskowski

    Hybrid Data-Driven Modelling for Inverse Control of Hydraulic Excavators

    In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2021.

  6. Jonas Weigand; Magnus Volkmann; Martin Ruskowski

    Neural Adaptive Control of a Robot Joint Using Secondary Encoders

    In: Karsten Berns; Daniel Görges (Hrsg.). Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2019). International Conference on Robotics in Alpe-Adria-Danube Region (RAAD-2019), June 19-21, Kaiserslautern, Germany, Pages 153-161, Advances in Intelligent Systems and Computing (AISC), Vol. 980, ISBN 978-3-030-19648-6, Springer International Publishing, 2019.