Federico Ceola

Orcid: 0000-0002-2356-0946

According to our database1, Federico Ceola authored at least 9 papers between 2019 and 2024.

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Bibliography

2024
RESPRECT: Speeding-up Multi-Fingered Grasping With Residual Reinforcement Learning.
IEEE Robotics Autom. Lett., 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments.
CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

A Grasp Pose is All You Need: Learning Multi-Fingered Grasping with Deep Reinforcement Learning from Vision and Touch.
IROS, 2023

2022
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot.
IEEE Trans. Robotics, 2022

2021
Fast Object Segmentation Learning with Kernel-based Methods for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Fast Region Proposal Learning for Object Detection for Robotics.
CoRR, 2020

2019
Robot Task Planning via Deep Reinforcement Learning: a Tabletop Object Sorting Application.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019


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