Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1941 bis 1950 von 5314.
  1. Lei Xu; Tianyu Ren; Georgia Chalvatzaki; Jan Peters

    Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.10568, Pages 0-10, arXiv, 2022.

  2. Jascha Hellwig; Mark Baierl; Jo~ao Carvalho; Julen Urain; Jan Peters

    A Hierarchical Approach to Active Pose Estimation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.03919, Pages 0-10, arXiv, 2022.

  3. Jo~ao Carvalho; Dorothea Koert; Marek Daniv; Jan Peters

    Residual Robot Learning for Object-Centric Probabilistic Movement Primitives

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.03918, Pages 0-10, arXiv, 2022.

  4. Jo~ao Carvalho; Jan Peters

    An Analysis of Measure-Valued Derivatives for Policy Gradients

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2203.03917, Pages 0-10, arXiv, 2022.

  5. Puze Liu; Kuo Zhang; Davide Tateo; Snehal Jauhri; Zhiyuan Hu; Jan Peters; Georgia Chalvatzaki

    Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.13308, Pages 0-10, arXiv, 2022.

  6. Soniya Vijayakumar

    Interpretability in Activation Space Analysis of Transformers: A Focused Survey

    In: AIMLAI' 22 Workshop. ACM International Conference on Information and Knowledge Management (CIKM-2022), October 17-21, Atlanta, Georgia, USA, CEUR Workshop Proceeding, Vol. 3318, CEUR, 2022.

  7. 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.

  8. Boris Belousov

    On Optimal Behavior Under Uncertainty in Humans and Robots

    PhD-Thesis, Technische Universität Darmstadt, 2022.

  9. 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.

  10. 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.