Publikationen pro Jahr
Publikationen pro Jahr
- 6 Ergebnisse
Suchergebnisse
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2024
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Lygerakis, F., Dave, V. & Rückert, E., 1 März 2024, in: IEEE International Conference on Ubiquitous Robots.Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Dave, V., Lygerakis, F. & Rückert, E., 28 Jan. 2024, in: Proceedings / IEEE International Conference on Robotics and Automation.Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Begutachtung
Open Access -
2023
Physics-informed neural network for predicting Gibbs free energy
Vincely, C., Sakic, A., Dave, V., Povoden-Karadeniz, E., Rückert, E. & Holec, D., 2023.Publikation: Konferenzbeitrag › Poster › Forschung
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2022
Can we infer the full-arm manipulation skills from tactile targets?
Dave, V. & Rückert, E., 26 Sept. 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Open Access -
Predicting full-arm grasping motions from anticipated tactile responses
Dave, V. & Rueckert, E., 26 Sept. 2022, IEEE-RAS International Conference on Humanoid Robots. (IEEE-RAS International Conference on Humanoid Robots).Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Open Access -
2021
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Rozo, L. & Dave, V., 8 Nov. 2021, Conference on Robot Learning. 5 Aufl. Proceedings of Machine Learning Research, Band 164. S. 373-383 10 S.Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
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