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Publikationen

Zeige Ergebnisse 21 bis 30 von 14806.
  1. DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, United States Minor Outlying Islands, IEEE, 2026.

  2. LIEREx: Language-Image Embeddings for Robotic Exploration

    In: Lars Kunze (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 01, Pages 1-7, Springer, 1/2026.

  3. Aleksandr Sidorenko; Bart Meyers; Vasilis Siatras; Pavel Burget; Patrick Kremser; Tatjana Legler; Jesko Hermann; Julian Groß; Evangelos Xanthakis; Jakub Hamernik; Kunal Suri; Kosmas Alexopoulos; Achim Wagner

    The RAASCEMAN Approach: Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks

    In: Journal of Intelligent Manufacturing (JIMS), Vol. 37, Pages 1-1, Springer Nature, 2026.

  4. Touchbox: A research toolkit of haptic textile cubes for experiencing, evaluating, and co-designing tangible remote communication

    In: DRS Conference Proceedings. Design Research Society International Conference (DRS), Design Research Society, June 8-12, Edinburgh, United Kingdom, DRS Conference Proceedings, 2026.

  5. Lifelong Learning-Based MPC for Uncertain Multi-Task Manipulation

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 11, No. 4, Pages 4977-4984, RA-L, 1/2026.

  6. Rohit Kumar; Shivesh Kumar; Frank Kirchner

    Minimal Coordinate Dynamic Simulation Through Singularities

    In: Proceedings of the 20th International Symposium on Advances in Robot Kinematics. International Symposium on Advances in Robot Kinematics (ARK-2026), June 28 - July 2, Barcelona, Spain, Springer, 7/2026.

  7. Falco Lentzsch; Frédéric Li; Friederike Pagel; Margot Lau; Andrea Kock; Hanna Marie Röhling; Benedikt-Johannes Rothstein; Maciej Baranowski; Marco Maass; Hannes Hölzl; Sebastian Glande; Sebastian Mansow-Model; Ute Thyen; Marcin Grzegorzek

    A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors

    In: Scientific Reports (Sci Rep), Vol. Scientific Reports volume 16, Article number: 459, Pages 1-16, Nature Publishing Group UK London, 2026.