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Publications

Displaying results 1221 to 1230 of 13867.

  1. E. Helmut; L. Dziarski; N. Funk; B. Belousov; Jan Peters

    Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis

    In: 2nd NeurIPS Workshop on Touch Processing: From Data to Knowledge. Neural Information Processing Systems (NeurIPS-2024), NeurIPS, 2024.

  2. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: Workshop on Structural Priors as Inductive Biases for Learning Robot Dynamics at Robotics: Science and Systems (RSS). Robotics: Science and Systems (RSS-2024), RSS, 2024.

  3. J. Lenz; T. Gruner; D. Palenicek; T. Schneider; I. Pfenning; Jan Peters

    Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks

    In: CoRL 2024 Workshop on Learning Robot Fine and Dexterous Manipulation: Perception and Control. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  4. C. Qian; J. Urain; K. Zakka; Jan Peters

    PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations

    In: Volume 270: Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  5. Afef Awadid; André Meyer-Vitali; Dominik Vereno; Maxence Gagnant

    RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 466-473, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  6. André Meyer-Vitali

    Multi-Agent Causal Reinforcement Learning

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 435-442, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  7. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 7, Pages 6043-6050, IEEE, 2024.

  8. H.J. Geiss; F. Al-Hafez; A. Seyfarth; Jan Peters; D. Tateo

    Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), IEEE, 2024.

  9. M. Drolet; S. Stepputtis; S. Kailas; A. Jain; S. Schaal; Jan Peters; H. Ben Amor

    A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 8579-8586, IEEE, 2024.

  10. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: Proceedings of The 8th Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), PMLR, 2024.

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