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Publications

Displaying results 311 to 320 of 682.

  1. Mattis Wolf; Diajeng Wulandari Atmojo; Christoph Tholen; Oliver Zielinski

    Improved deep learning based litter detection in aquatic environments in Indonesia using drones

    In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, Pages 1-7, ISBN 979-8-3503-3226-1, IEEE, 6/2023.

  2. Naeem Iqbal; Mark Niemeyer; Jan Christoph Krause; Joachim Hertzberg

    Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

    In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.

  3. Dinh Nam Pham; Vera Czehmann; Eleftherios Avramidis

    Disambiguating Signs: Deep Learning-based Gloss-level Classification for German Sign Language by Utilizing Mouth Actions

    In: Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN-2023), October 4-6, Bruges, Belgium, ISBN 978-2-87587-088-9. i6doc.com publ. 10/2023.

  4. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  5. Michael Lutter; Boris Belousov; Kim Listmann; Debora Clever; Jan Peters

    HJB optimal feedback control with deep differential value functions and action constraints

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 640-650, Proceedings of Machine Learning Research (PMLR), Vol. 100, PMLR, 2019.

  6. Michael Lutter; Debora Clever; Boris Belousov; Kim Listmann; Jan Peters

    Evaluating the Robustness of HJB Optimal Feedback Control

    In: International Symposium on Robotics. International Symposium on Robotics (ISR-2020), 52th, December 9-10, Pages 1-8, VDE, 2020.

  7. 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 in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

  8. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  9. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  10. Freddy Sikouonmeu; Martin Atzmueller

    Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

    In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), February 13-14, Osnabrück, Germany, GI, Bonn, 2023.

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