A multisensor platform for comprehensive detection of crop status: Results from two case studies. - Stefan Rilling; Michael Nielsen 005; Annalisa Milella; Christian Jestel; Peter Fröhlich 004; Giulio Reina (AVSS, 2017)

Deep Reinforcement learning for real autonomous mobile robot navigation in indoor environments. - Hartmut Surmann; Christian Jestel; Robin Marchel; Franziska Musberg; Houssem Elhadj; Mahbube Ardani (CoRR, 2020)

Obtaining Robust Control and Navigation Policies for Multi-robot Navigation via Deep Reinforcement Learning. - Christian Jestel; Hartmut Surmann; Jonas Stenzel; Oliver Urbann; Marius Brehler (ICARA, 2021)

evoBOT - Design and Learning-Based Control of a Two-Wheeled Compound Inverted Pendulum Robot. - Patrick Klokowski; Julian Eßer; Nils Gramse; Benedikt Pschera; Marc Plitt; Frido Feldmeier; Shubham Bajpai; Christian Jestel; Nicolas Bach; Oliver Urbann; Sören Kerner (IROS, 2023)

Guided Reinforcement Learning: A Review and Evaluation for Efficient and Effective Real-World Robotics [Survey]. - Julian Eßer; Nicolas Bach; Christian Jestel; Oliver Urbann; Sören Kerner (IEEE Robotics Autom. Mag., 2023)

MuRoSim - A Fast and Efficient Multi-Robot Simulation for Learning-based Navigation. - Christian Jestel; Karol Rösner; Niklas Dietz; Nicolas Bach; Julian Eßer; Jan Finke; Oliver Urbann (ICRA, 2024)