Neural Adaptive Control of a Robot Joint Using Secondary Encoders. - Jonas Weigand; Magnus Volkmann; Martin Ruskowski (RAAD, 2019)

Hybrid Data-Driven Modelling for Inverse Control of Hydraulic Excavators. - Jonas Weigand; Julian Raible; Nico Zantopp; Ozan Demir; Adrian Trachte; Achim Wagner; Martin Ruskowski (IROS, 2021)

Flatness Based Control of an Industrial Robot Joint Using Secondary Encoders. - Jonas Weigand; Nigora Gafur; Martin Ruskowski (Robotics Comput. Integr. Manuf., 2021)

Input-to-state stability for system identification with continuous-time Runge-Kutta neural networks. - Jonas Weigand; Michael Deflorian; Martin Ruskowski (Int. J. Control, 2023)

Hybrid Continuous-Time Deep Neural Networks for Robot System Identification and Control - Jonas Weigand (2023)

State Derivative Normalization for Continuous-Time Deep Neural Networks. - Jonas Weigand; Gerben Izaak Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski (CoRR, 2024)

BeamStellar: Low-Latency, 6-DoF Head Tracking for Beaming Displays with Spatio-Temporal LED Encoding. - Jonas Weigand; Yuichi Hiroi; Yuta Itoh 001 (VR Workshops, 2025)