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Publications

Displaying results 31 to 40 of 15095.

  1. Melya Boukheddimi; Ivan Bergonzani; Shivesh Kumar; Heiner Peters; Frank Kirchner

    RH5 Pedes humanoid

    In: Shivesh Kumar; Andreas Müller; Frank Kirchner (Hrsg.). Biologically Inspired Series-Parallel Hybrid Robots. Chapter 15, Pages 333-353, Vol. 1, ISBN 978-0-323-88482-2, Academic Press, 12/2024.

  2. G. Reza Nazmara; Alap Kshirsagar; Jan Peters; A. Pedro Aguiar

    Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2604.09323, Pages 1-8, arXiv, 2026.

  3. Fabian Hahne; Vignesh Prasad; Georgia Chalvatzaki; Jan Peters; Alap Kshirsagar

    Task-Aware Bimanual Affordance Prediction via VLM-Guided Semantic-Geometric Reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2604.08726, Pages 1-9, arXiv, 2026.

  4. Donghu Kim; Youngdo Lee; Minho Park; Kinam Kim; I Made Aswin Nahendra; Takuma Seno; Sehee Min; Daniel Palenicek; Florian Vogt; Danica Kragic; Jan Peters; Jaegul Choo; Hojoon Lee

    FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2604.04539, Pages 1-40, arXiv, 2026.

  5. Siwei Ju; Jan Tauberschmidt; Oleg Arenz; Peter van Vliet; Jan Peters

    Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2604.03023, Pages 1-15, arXiv, 2026.

  6. Chun-Peng Chang; Chen-Yu Wang; Holger Caesar; Alain Pagani

    Probing the Reliability of Driving VLMs: From Inconsistent Responses to Grounded Temporal Reasoning

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. International Conference on Computer Vision and Pattern Recognition (CVPR-2026), Autonomous Understanding Through Open-world Perception and Integrated Language Models for On-road Tasks, Denver, Colorado, USA, IEEE, 6/2026.

  7. Alexander Fabisch; Melvin Laux; Mariela De Lucas Alvarez; Edoardo Caroselli; Julian Theis

    Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry

    In: Reinforcement Learning Journal (RLJ), Vol. 7, Pages 1-36, 8/2026.

  8. Veronika Kurchyna; Ye Eun Bae; Thomas Ellwart; Marco Schulz; Julia Birke; Johanna T. Paul; Jan Ole Berndt; Ingo Timm

    Micromechanisms of Simulated Work: Translating Task-Level Demands into Organizational Strain

    In: Advances in Social Simulation. Social Simulation Conference (SSC), 21st Social Simulation Conference, August 24-28, Durham, United Kingdom, Springer, 2027.

  9. Wolfgang Maaß; Hyoil Han; Hasan Yasar

    Bridging conceptual modeling and machine learning

    In: Data & Knowledge Engineering (DKE), Vol. 0, Pages 0-0, Elsevier, 8/2026.

  10. Wolfgang Maaß; Iris Reinhartz-Berger

    AI-Intent: A Conceptual Modeling Framework for Accountable Multi-Agent AI Systems

    In: ER 2026. International Conference on Conceptual Modeling (ER-2026), 45th International Conference on Conceptual Modeling, located at ER 2026, October 5-8, St. John's, NL, Canada, Springer, 10/2026.

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