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Publications

Displaying results 1 to 10 of 77.
  1. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  2. Fusion of Global-Local Features for Image Quality Inspection of Shipping Label

    In: 2020 25th International Conference on Pattern Recognition (ICPR). International Conference on Pattern Recognition (ICPR-2020), January 10-15, …

  3. Joel Jang; yoonjeon Kim; Kyoungho Choi; Sungho Suh

    Sequential targeting: A continual learning approach for data imbalance in text classification

    In: Expert Systems with Applications (ESWA), Vol. 179, Page 115067, Elsevier, 10/2021.

  4. MoCapaci: Posture and gesture detection in loose garments using textile cables as capacitive antennas

    In: ACM International Symposium on Wearable Computers. ACM International Symposium on Wearable Computers (ISWC-2021), September 21-26, ACM, 2021.

  5. Hendrik Wöhrle; Mariela De Lucas Alvarez; Fabian Schlenke; Alexander Walsemann; Michael Karagounis; Frank Kirchner (Hrsg.)

    Surrogate Model based Co-Optimization of Deep Neural Network Hardware Accelerators

    IEEE International Midwest Symposium on Circuits and Systems (MWSCAS-2021), August 9-11, USA, IEEE, 8/2021.

  6. Terrain Adaption Controller for a Walking Excavator Robot using Deep Reinforcement Learning

    In: 2021 20th International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2021), December 7-10, …

  7. Jens Popper; Martin Ruskowski

    Using Multi-Agent Deep Reinforcement Learning For Flexible Job Shop Scheduling Problems

    In: Roberto Teti; Doriana M. D'Addona (Hrsg.). CIRP Proceedings. CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), …

  8. Jens Popper; Vassilios Yfantis; Martin Ruskowski (Hrsg.)

    Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

    CIRP Conference on Manufactoring Systems (CIRP CMS-2021), 54th CIRP Conference on Manufacturing Systems, 2021, located at CIRP, September 22-24, …

  9. Angelo Ugenti; Fabio Vulpi; Raúl Domínguez; Florian Cordes; Annalisa Milella; Giulio Reina

    On the role of feature and signal selection for terrain learning in planetary exploration robots

    In: Journal of Field Robotics (JFR), No. n/a, 12/2021.

  10. Nima Omidsajedi; Rekha Reddy; Jianming Yi; Jan Herbst; Christoph Lipps; Hans Dieter Schotten

    Latency optimized Deep Neural Networks (DNNs): An Artificial Intelligence approach at the Edge using Multiprocessor System on Chip (MPSoC)

    In: VDE/ITG Fachtagung Mobilkommunikation. VDE/ITG Fachtagung Mobilkommunikation (MKT-2021), November 3-5, Osnabrück, Germany, ISBN 978-3-8007-5674-2, …