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Publikationen

Zeige Ergebnisse 1281 bis 1290 von 14766.

  1. 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.

  2. 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.

  3. L. Lin; A. Boehm; B. Belousov; A. Kshirsagar; T. Schneider; Jan Peters; K. Doerschner; K. Drewing

    Task-Adapted Single-Finger Explorations of Complex Objects

    In: 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, Proceedings, Part I. International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (EuroHaptics-2024), June 30 - July 3, Lille, France, Pages 133-146, Lecture Notes in Computer Science (LNCS), Vol. 14768, Springer, Cham, 2024.

  4. P. Holzmann; M. Maik Pfefferkorn; Jan Peters; R. Findeisen

    Learning Energy-Efficient Trajectory Planning for Robotic Manipulators using Bayesian Optimization

    In: Proceedings of the European Control Conference (ECC). European Control Conference (ECC-2024), Institute of Electrical and Electronics Engineers (IEEE), 2024.

  5. Leo Wanner; Daniel Bowen; Marta Burgos; Ester Carrasco; Jan Černocký; Toni Codina; Jevgenijs Danilins; Steffi Davey; Joan de Lara; Eleni Dimopoulou; Ekaterina Egorova; Christine Gebhard; Jens Grivolla; Elena Jaramillo-Rojas; Matthias Klusch; Athanasios Mavropoulos; Maria Moudatsou; Artemisia Nikolaidou; Dimos Ntioudis; Irene Rodríguez; Mirela Rosgova; Yash Shekhawat; Alexander Shvets; Oleksandr Sobko; Grigoris Tzionis; Stefanos Vrochidis

    Support of Migrant Reception, Integration, and Social Inclusion by Intelligent Technologies

    In: Information, Vol. 15, No. 11, Pages 686-718, MDPI, 2024.

  6. Antonio Macaluso

    Quantum Supervised Learning

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 1, Pages 1-15, Springer, 2024.

  7. Valerio Giustino; Ignazio Leale; Luca Cicero; Luca Petrigna; Monica Lo Nigro; Veronica Fontana; Elena Mignosi; Pietro Cataldo; Antonio Macaluso; Manuel Gómez-López; Giovanni Cassata; Giuseppe Battaglia

    Acute effects of a dog sport on fitness parameters in young adults: a randomised controlled crossover study

    In: Human Movement (Hum Mov), Vol. 25, No. 4, Pages 138-146, Wroclaw University of Health and Sport Sciences, 2024.

  8. Alexander Schultheis

    Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024). International Conference on Case-Based Reasoning (ICCBR-2024), co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2024), located at 31st International Conference on Case-Based Reasoning (ICCBR 2024), July 1-5, Merida, Mexico, CEUR Workshop Proceedings, CEUR-WS.org. 7/2024.

  9. 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.

  10. 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.

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