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Publikationen

Zeige Ergebnisse 571 bis 580 von 13867.

  1. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: Proceedings of The 8th Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), PMLR, 2024.

  2. F. Herrmann; S.B. Zach; J. Banfi; Jan Peters; G. Chalvatzaki; D. Tateo

    Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 9327-9334, IEEE, 2024.

  3. S. Gu; Puze Liu; A. Kshirsagar; G. Chen; Jan Peters; A. Knoll

    ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds

    In: IEEE Transactions on Automation Science and Engineering, Vol. /, Pages 1-11, IEEE, 2024.

  4. Ibrahim Tijjani; Rohit Kumar; Melya Boukheddimi; Mathias Trampler; Shivesh Kumar; Frank Kirchner

    Sitting, Standing and Walking Control of the Series- Parallel Hybrid Recupera-Reha Exoskeleton

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), November 22-24, Nancy, France, Pages 113-120, ISBN 979-8-3503-7357-8, IEEE, 12/2024.

  5. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Theo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

    Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition

    In: Kate Larson (Hrsg.). Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, Pages 8833-8837, International Joint Conferences on Artificial Intelligence Organization, 8/2024.

  6. Hans Hohenfeld; Dirk Heimann; Felix Wiebe; Frank Kirchner

    Quantum Deep Reinforcement Learning for Robot Navigation Tasks

    In: IEEE Access (IEEE), Vol. n.n. Pages 1-1, IEEE, 6/2024.

  7. Steffen Kastner; Markus Bullmann; Markus Ebner; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek

    Refinement of Sparsely Tagged Ground Truth Paths Using PDR and Particle Filter Smoothing

    In: 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pages 1-6, IEEE, 2024.

  8. Rafal Doniec; Tymoteusz Krzepina; Szymon Siecinski; Muhammad Tausif Irshad; Marcin Grzegorzek

    An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study

    In: Jens Haueisen (Hrsg.). Current Directions in Biomedical Engineering (CDBME), Vol. 10, No. 4, Pages 204-207, De Gruyter, 2024.

  9. Cong Yang; Hua Zhou; Xun Liu; Yan Ke; Bo Gao; Marcin Grzegorzek; Zeyd Boukhers; Tao Chen; John See

    BladeView: Toward Automatic Wind Turbine Inspection With Unmanned Aerial Vehicle

    In: IEEE Transactions on Automation Science and Engineering, Vol. IEEE Transactions on Automation Science and Engineering, Pages 1-16, IEEE, 2024.

  10. Artur Piet; Johanna Geritz; Pascal Garcia; Mona Irsfeld; Frédéric Li; Xinyu Huang; Muhammad Tausif Irshad; Julius Welzel; Clint Hansen; Walter Maetzler; Marcin Grzegorzek; others

    Predicting executive functioning from walking features in Parkinson’s disease using machine learning

    In: Scientific Reports (Sci Rep), Vol. 14, No. 1, Pages 1-1, Nature Publishing Group UK London, 2024.

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