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Felix Wiebe, M.Sc.

Organisationseinheit Robotics Innovation Center
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Publikationen

Open Source Dual-Purpose Acrobot and Pendubot Platform: Benchmarking Control Algorithms for Underactuated Robotics

Felix Wiebe; Shivesh Kumar; Lasse Jenning Shala; Shubham Vyas; Mahdi Javadi; Frank Kirchner

In: IEEE Robotics & Automation Magazine, Vol. 31, No. 2, Pages 113-124, IEEE, 6/2024.

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Co-Optimization of Acrobot Design and Controller for Increased Certifiable Stability

Lasse Jenning Shala; Felix Wiebe; Shivesh Kumar; Mahdi Javadi; Frank Kirchner

In: Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2022), October 23-27, Kyoto, Japan, IEEE, 11/2022.

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Torque-limited simple pendulum: A toolkit for getting familiar with control algorithms in underactuated robotics

Felix Wiebe; Jonathan Babel; Shivesh Kumar; Shubham Vyas; Daniel Harnack; Melya Boukheddimi; Mihaela Popescu; Frank Kirchner

In: Journal of Open Source Software (JOSS), Vol. 7, No. 74, Pages 1-7, The Open Journal, 6/2022.

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Profil

  • QuMAL-KI

    Quantenbeschleunigtes Multi-Agenten Lernen für langzeitautonome robotische Anwendungen

    Im Forschungsvorhaben QuMAL-KI – Quantenbeschleunigtes Multi-Agenten Lernen für langzeitautonome Roboter – sollen zur Beschleunigung von Verfahren des Deep Reinforcement Learning für mehrere Agenten…