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Publications

Displaying results 251 to 260 of 578.

  1. 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.

  2. Alexander Dettmann; Malte Langosz; Jonas Eisenmenger; Marc Otto; Sebastian Kasperski; Malte Wirkus; Nayari Lessa

    Ground Interaction Models for Increased Autonomy of Planetary Exploration Systems

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  3. Johannes Lahann; Peter Pfeiffer; Peter Fettke

    LSTM-based Anomaly Detection of Process Instances: Benchmark and Tweaks

    In: Proceedings of the 4th International Conference on Process Mining (Workshops). International Conference on Process Mining (ICPM-2022), Process Mining Workshops, October 23-28, Bolzano, Italy, Lecture Notes in Business Information Processing, Springer, 2023.

  4. Saifullah Saifullah; Dominique Mercier; Adriano Lucieri; Andreas Dengel; Sheraz Ahmed

    The privacy-explainability trade-off: unraveling the impacts of differential privacy and federated learning on attribution methods

    In: Frontiers in Artificial Intelligence (Front. Artif. Intell.), Vol. 7, Pages 1-26, Frontiers, 7/2024.

  5. Sankalp Sinha; Khurram Azeem Hashmi; Alain Pagani; Marcus Liwicki; Didier Stricker; Muhammad Zeshan Afzal

    Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images

    In: Applied Sciences, Vol. 12, No. 20, Pages 1-22, MDPI, Switzerland, 10/2022.

  6. Sirko Straube; Nina Hoyer; Niels Will; Frank Kirchner

    The Challenge of Autonomy: What We Can Learn from Research on Robots Designed for Harsh Environments

    In: Uwe Engel (Hrsg.). Robots in Care and Everyday Life. Chapter 4, Pages 57-80, Springer, 10/2022.

  7. Andrea Cini; Carlo D'Eramo; Jan Peters; Cesare Alippi

    Deep Reinforcement Learning with Weighted Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.09280, Pages 0-10, arXiv, 2020.

  8. Philip Becker-Ehmck; Maximilian Karl; Jan Peters; Patrick van der Smagt

    Learning to Fly via Deep Model-Based Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.08876, Pages 0-10, arXiv, 2020.

  9. Marcus Ebner von Eschenbach; Binyamin Manela; Jan Peters; Armin Biess

    Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2003.02638, Pages 0-10, arXiv, 2020.

  10. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Self-Paced Deep Reinforcement Learning

    In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020. Neural Information Processing Systems (NeurIPS-2020), December 6-12, Curran Associates, Inc. 2020.

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