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Publikationen

Zeige Ergebnisse 1311 bis 1320 von 14672.

  1. N. Becker; K. Sovailo; C. Zhu; E. Gattung; K. Hansel; T. Schneider; Y. Zhu; Y. Hasegawa; Jan Peters

    Integrating and Evaluating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation

    In: 40th Anniversary of the IEEE International Conference on Robotics and Automation (ICRA@40). IEEE International Conference on Robotics and Automation (ICRA-2024), IEEE, 2024.

  2. P. Kicki; Tateo; Puze Liu; J. Guenster; Jan Peters; K. Walas

    Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning

    In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  3. J. Guenster; Puze Liu; Jan Peters; D. Tateo

    Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning

    In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  4. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  5. Tatjana Legler; Vinit Vikas Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  6. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  7. Tobias Stollenwerk; Somtapa Bhattacharya; Michele Cattelan; Alessandro Ciani; Gabriele Compostella; David Headley; Johannes Klepsch; Matthias Klusch; Markus Leder; Antonio Macaluso; Kristel Michielsen; Dmytro Nabok; Anestis Papanikolaou; Alexander Rausch; Marco Schumann; Andrea Skolik; Sheir Yarkoni; Frank K. Wilhelm

    Q(AI)2: Quantum Artificial Intelligence for the Automotive Industry

    In: Matthias Klusch; Jörg Lässig; Frank Wilhelm (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 4/24, Pages 1-9, Springer, 2024.

  8. Philippe Weier; Alexander Rath; Élie Michel; Iliyan Georgiev; Philipp Slusallek; Tamy Boubekeur

    N-BVH: Neural ray queries with bounding volume hierarchies

    In: Andres Burbano; Denis Zorin; Wojciech Jarosz (Hrsg.). Proceedings - SIGGRAPH 2024 Conference Papers. ACM Siggraph (Siggraph-24), July 27 - August 1, Denver, CO, USA, Pages 1-11, Vol. 25, ISBN 979-8-4007-0525-0, Association for Computing Machinery, New York, NY, USA, 7/2024.

  9. Donald Degraen; Marco Speicher; André Zenner; Antonio Krüger

    Exploring User-Defined Interactions for Virtual Reality

    In: Proceedings of the 2024 ACM Symposium on Spatial User Interaction. ACM Symposium on Spatial User Interaction (SUI-2024), Trier, Germany, SUI '24, ISBN 9798400710889, Association for Computing Machinery, 2024.

  10. Martin Feick; Kora Regitz; Lukas Gehrke; André Zenner; Anthony Tang; Tobias Jungbluth; Maurice Rekrut; Antonio Krüger

    Predicting the Limits: Tailoring Unnoticeable Hand Redirection Offsets in Virtual Reality to Individuals' Perceptual Boundaries

    In: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology (UIST-2024), Pittsburgh, Pennsylvania, USA, UIST '24, ISBN 9798400706288, Association for Computing Machinery, 2024.

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