Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 104* | 2023 |
Robot task planning via deep reinforcement learning: a tabletop object sorting application F Ceola, E Tosello, L Tagliapietra, G Nicola, S Ghidoni 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 16 | 2019 |
Fast region proposal learning for object detection for robotics F Ceola, E Maiettini, G Pasquale, L Rosasco, L Natale arXiv preprint arXiv:2011.12790, 2020 | 7 | 2020 |
Fast object segmentation learning with kernel-based methods for robotics F Ceola, E Maiettini, G Pasquale, L Rosasco, L Natale 2021 IEEE International Conference on Robotics and Automation (ICRA), 13581 …, 2021 | 6 | 2021 |
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot F Ceola, E Maiettini, G Pasquale, G Meanti, L Rosasco, L Natale IEEE Transactions on robotics 38 (5), 3154-3172, 2022 | 5 | 2022 |
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch F Ceola, E Maiettini, L Rosasco, L Natale 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 2 | 2023 |
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning F Ceola, L Rosasco, L Natale IEEE Robotics and Automation Letters, 2024 | | 2024 |
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments F Ceola, L Natale, N Sünderhauf, K Rana arXiv preprint arXiv:2312.12036, 2023 | | 2023 |