| Learning complex dexterous manipulation with deep reinforcement learning and demonstrations A Rajeswaran, V Kumar, A Gupta, J Schulman, E Todorov, S Levine arXiv preprint arXiv:1709.10087, 2017 | 1076 | 2017 |
| A grasping approach based on superquadric models G Vezzani, U Pattacini, L Natale 2017 IEEE International Conference on Robotics and Automation (ICRA), 1579-1586, 2017 | 74 | 2017 |
| Memory unscented particle filter for 6-DOF tactile localization G Vezzani, U Pattacini, G Battistelli, L Chisci, L Natale IEEE Transactions on Robotics 33 (5), 1139-1155, 2017 | 60 | 2017 |
| Robocat: A self-improving foundation agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, C Devin, AX Lee, M Bauza, T Davchev, ... arXiv preprint arXiv:2306.11706, 2023 | 58 | 2023 |
| GRASPA 1.0: GRASPA is a robot arm grasping performance benchmark F Bottarel, G Vezzani, U Pattacini, L Natale IEEE Robotics and Automation Letters 5 (2), 836-843, 2020 | 36 | 2020 |
| Learning latent state representation for speeding up exploration G Vezzani, A Gupta, L Natale, P Abbeel arXiv preprint arXiv:1905.12621, 2019 | 31 | 2019 |
| Is curiosity all you need? on the utility of emergent behaviours from curious exploration O Groth, M Wulfmeier, G Vezzani, V Dasagi, T Hertweck, R Hafner, ... arXiv preprint arXiv:2109.08603, 2021 | 25 | 2021 |
| Learning transferable motor skills with hierarchical latent mixture policies D Rao, F Sadeghi, L Hasenclever, M Wulfmeier, M Zambelli, G Vezzani, ... arXiv preprint arXiv:2112.05062, 2021 | 24 | 2021 |
| A constrained multi-objective reinforcement learning framework S Huang, A Abdolmaleki, G Vezzani, P Brakel, DJ Mankowitz, M Neunert, ... Conference on Robot Learning, 883-893, 2022 | 23 | 2022 |
| Improving superquadric modeling and grasping with prior on object shapes G Vezzani, U Pattacini, G Pasquale, L Natale 2018 IEEE International Conference on Robotics and Automation (ICRA), 6875-6882, 2018 | 20 | 2018 |
| On multi-objective policy optimization as a tool for reinforcement learning A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ... arXiv preprint arXiv:2106.08199, 2021 | 19 | 2021 |
| Maskukf: An instance segmentation aided unscented kalman filter for 6d object pose and velocity tracking NA Piga, F Bottarel, C Fantacci, G Vezzani, U Pattacini, L Natale Frontiers in Robotics and AI 8, 594583, 2021 | 12 | 2021 |
| A Novel Bayesian Filtering Approach to Tactile Object Recognition G Vezzani, N Jamali, U Pattacini, G Battistelli, L Chisci, L Natale IEEE International Conference on Humanoid Robots 2016, pp. 256 - 263, 2016 | 12 | 2016 |
| Robocat: A self-improving generalist agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ... Transactions on Machine Learning Research, 2023 | 10 | 2023 |
| Markerless visual servoing on unknown objects for humanoid robot platforms C Fantacci, G Vezzani, U Pattacini, V Tikhanoff, L Natale 2018 IEEE International Conference on Robotics and Automation (ICRA), 3099-3106, 2018 | 10 | 2018 |
| Magnetic 3-axis soft and sensitive fingertip sensors integration for the iCub humanoid robot AC Holgado, N Piga, TP Tomo, G Vezzani, A Schmitz, L Natale, S Sugano 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 1-8, 2019 | 6 | 2019 |
| Skills: Adaptive skill sequencing for efficient temporally-extended exploration G Vezzani, D Tirumala, M Wulfmeier, D Rao, A Abdolmaleki, B Moran, ... arXiv preprint arXiv:2211.13743, 2022 | 5 | 2022 |
| On multi-objective policy optimization as a tool for reinforcement learning: Case studies in offline RL and finetuning A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ... arXiv preprint arXiv:2106.08199, 2021 | 4 | 2021 |
| A novel pipeline for bi-manual handover task G Vezzani, M Regoli, U Pattacini, L Natale Advanced Robotics 31 (23-24), 1267-1280, 2017 | 4 | 2017 |
| Sense, Think, Grasp: A study on visual and tactile information processing for autonomous manipulation. G Vezzani University of Genoa, Italy, 2019 | 1 | 2019 |
Lorenzo NataleTenured Senior Scientist, Istituto Italiano di Tecnologia在 iit.it 的电子邮件经过验证
