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Felix Wiebe, M.Sc.

Organisationseinheit Robotics Innovation Center
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Publikationen

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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Combinatorics of a Discrete Trajectory Space for Robot Motion Planning

Felix Wiebe; Shivesh Kumar; Daniel Harnack; Malte Langosz; Hendrik Wöhrle; Frank Kirchner

In: William Holderbaum; J. M. Selig (Hrsg.). 2nd IMA Conference on Mathematics of Robotics. IMA Conference on Mathematics of Robotics (IMA-2022), September 8-10, London, United Kingdom, Springer Proceedings in Advanced Robotics, ISBN 9783030913519, Springer International Publishing, 1/2022.

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Alle Publikationen

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…