受强制性开放获取政策约束的文章 - Federico Ceola了解详情
可在其他位置公开访问的文章：3 篇
RESPRECT: Speeding-up Multi-fingered Grasping with Residual Reinforcement Learning
F Ceola, L Rosasco, L Natale
IEEE Robotics and Automation Letters, 2024
强制性开放获取政策： US National Science Foundation, US Department of Defense, European Commission
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, European Commission
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
强制性开放获取政策： US National Science Foundation, US Department of Defense, European Commission
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