| Variable impedance control and learning—A review FJ Abu-Dakka, M Saveriano Frontiers in Robotics and AI 7, 590681, 2020 | 137 | 2020 |
| Dynamic movement primitives in robotics: A tutorial survey M Saveriano, FJ Abu-Dakka, A Kramberger, L Peternel The International Journal of Robotics Research 42 (13), 1133-1184, 2023 | 123 | 2023 |
| Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction R Caccavale, M Saveriano, A Finzi, D Lee Autonomous Robots 43, 1291-1307, 2019 | 95 | 2019 |
| Incremental kinesthetic teaching of end-effector and null-space motion primitives M Saveriano, S An, D Lee 2015 IEEE International Conference on Robotics and Automation (ICRA), 3570-3575, 2015 | 69 | 2015 |
| Data-Efficient Control Policy Search Using Residual Dynamics Learning M Saveriano, Y Yin, P Falco, D Lee IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2017 | 63 | 2017 |
| Merging position and orientation motion primitives M Saveriano, F Franzel, D Lee 2019 International Conference on Robotics and Automation (ICRA), 7041-7047, 2019 | 62 | 2019 |
| Learning barrier functions for constrained motion planning with dynamical systems M Saveriano, D Lee 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 57 | 2019 |
| Distance based dynamical system modulation for reactive avoidance of moving obstacles M Saveriano, D Lee 2014 IEEE International Conference on Robotics and Automation (ICRA), 5618-5623, 2014 | 51 | 2014 |
| Learning stable dynamical systems using contraction theory C Blocher, M Saveriano, D Lee 2017 14th International Conference on Ubiquitous Robots and Ambient …, 2017 | 46 | 2017 |
| A bayesian approach for task recognition and future human activity prediction V Magnanimo, M Saveriano, S Rossi, D Lee The 23rd IEEE international symposium on robot and human interactive …, 2014 | 44 | 2014 |
| Gumpy: A Python toolbox suitable for hybrid brain–computer interfaces Z Tayeb, N Waniek, J Fedjaev, N Ghaboosi, L Rychly, C Widderich, ... Journal of neural engineering 15 (6), 065003, 2018 | 43 | 2018 |
| On policy learning robust to irreversible events: An application to robotic in-hand manipulation P Falco, A Attawia, M Saveriano, D Lee IEEE Robotics and Automation Letters 3 (3), 1482-1489, 2018 | 41 | 2018 |
| Point cloud based dynamical system modulation for reactive avoidance of convex and concave obstacles M Saveriano, D Lee 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 37 | 2013 |
| Human-aware motion reshaping using dynamical systems M Saveriano, F Hirt, D Lee Pattern Recognition Letters 99, 96-104, 2017 | 27 | 2017 |
| Imitation learning and attentional supervision of dual-arm structured tasks R Caccavale, M Saveriano, GA Fontanelli, F Ficuciello, D Lee, A Finzi 2017 Joint IEEE International Conference on Development and Learning and …, 2017 | 21 | 2017 |
| Action noise in off-policy deep reinforcement learning: Impact on exploration and performance J Hollenstein, S Auddy, M Saveriano, E Renaudo, J Piater Transactions on Machine Learning Research, 2022 | 19 | 2022 |
| An energy-based approach to ensure the stability of learned dynamical systems M Saveriano 2020 IEEE International conference on robotics and automation (ICRA), 4407-4413, 2020 | 19 | 2020 |
| Invariant representation for user independent motion recognition M Saveriano, D Lee 2013 IEEE RO-MAN, 650-655, 2013 | 19 | 2013 |
| Safety of dynamical systems with multiple non-convex unsafe sets using control barrier functions G Notomista, M Saveriano IEEE Control Systems Letters 6, 1136-1141, 2021 | 18 | 2021 |
| A bidirectional invariant representation of motion for gesture recognition and reproduction R Soloperto, M Saveriano, D Lee 2015 IEEE International Conference on Robotics and Automation (ICRA), 6146-6152, 2015 | 18 | 2015 |
Dongheui LeeProfessor, Technische Universität Wien (TU Wien) // German Aerospace Center (DLR)在 tuwien.ac.at 的电子邮件经过验证
