Open X-Embodiment: Robotic Learning Datasets and RT-X Models A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 199* | 2024 |
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 | 17 | 2019 |
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 | 9 | 2021 |
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 | 8 | 2020 |
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 | 6 | 2022 |
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning F Ceola, L Rosasco, L Natale IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
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 | 3 | 2023 |
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments F Ceola, L Natale, N Sünderhauf, K Rana 2024 Robotics: Science and Systems (RSS) Workshops on Data Generation for …, 2023 | 1 | 2023 |
Robotic Perception and Manipulation: Leveraging Deep Learning Methods for Efficient Instance Segmentation and Multi-fingered Grasping F Ceola Università degli studi di Genova, 2024 | | 2024 |