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Federico Ceola
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Citata da
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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
77*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
152019
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
72020
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
62021
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
52022
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
12023
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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