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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

, , , , , , and . (2021)cite arxiv:2108.06266Comment: 36 pages, 8 figures.

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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning., , , , , , and . Annu. Rev. Control. Robotics Auton. Syst., (2022)Fly Out The Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight., , and . CoRR, (2021)AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space., , , and . CoRR, (2023)T5S1607 identified as a antibacterial FtsZ inhibitor:Virtual screening combined with bioactivity evaluation for the drug discovery., , , , , , , , , and 2 other author(s). Comput. Biol. Chem., (February 2024)Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking., , and . CDC, page 5201-5207. IEEE, (2017)Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control., , , , , and . IROS, page 7512-7519. IEEE, (2021)Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking., , , , and . ECC, page 1-8. IEEE, (2019)Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments., , , and . CoRR, (2024)Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems., , and . L4DC, volume 168 of Proceedings of Machine Learning Research, page 881-892. PMLR, (2022)An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics., , and . IEEE Robotics Autom. Lett., 3 (3): 1663-1670 (2018)