| Orientation Probabilistic Movement Primitives on Riemannian Manifolds L Rozo, V Dave Conference on Robot Learning, 373-383, 2021 | 24 | 2021 |
| Multimodal visual-tactile representation learning through self-supervised contrastive pre-training V Dave, F Lygerakis, E Rueckert arXiv preprint arXiv:2401.12024, 2024 | 5 | 2024 |
| Predicting full-arm grasping motions from anticipated tactile responses V Dave, E Rueckert IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022 | 2 | 2022 |
| M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation F Lygerakis, V Dave, E Rueckert arXiv preprint arXiv:2401.17032, 2024 | 1 | 2024 |
| Physics-informed neural network for predicting Gibbs free energy C Vincely, A Sakic, V Dave, E Povoden-Karadeniz, E Rückert, D Holec | | 2023 |
| Can we infer the full-arm manipulation skills from tactile targets? V Dave, E Rückert Workshop on Advances in Close Proximity Human-Robot Collaboration at IEEE …, 2022 | | 2022 |
| Information-Theoretic World Model learning for Denoised Predictions V Dave, E Rueckert | | |
| Supplementary Material Orientation Probabilistic Movement Primitives on Riemannian Manifolds L Rozo, V Dave | | |
Elmar RueckertProfessor for Cyber-Physical-Systems在 unileoben.ac.at 的电子邮件经过验证
