Francisco Roldan Sanchez
Francisco Roldan Sanchez
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WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks.
AC Duarte, F Roldan, M Tubau, J Escur, S Pascual, A Salvador, ...
ICASSP 2019, 8633-8637, 2019
A robot cluster for reproducible research in dexterous manipulation
S Bauer, F Widmaier, M Wüthrich, N Funk, JU De Jesus, J Peters, ...
Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward‐based tasks
Q Wang, FR Sanchez, R McCarthy, DC Bulens, K McGuinness, ...
Expert Systems 40 (6), e13205, 2023
Solving the real robot challenge using deep reinforcement learning
R McCarthy, FR Sanchez, Q Wang, DC Bulens, K McGuinness, ...
Irish Conference on Artificial Intelligence and Cognitive Science (AICS) 2021, 2021
Improving behavioural cloning with positive unlabeled learning
Q Wang, R McCarthy, DC Bulens, K McGuinness, NE O’Connor, ...
Conference on Robot Learning, 3851-3869, 2023
Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies
Q Wang, R McCarthy, DC Bulens, FR Sanchez, K McGuinness, ...
2023 IEEE Robotics and Automation Letters, 2023
Towards advanced robotic manipulation
FR Sanchez, S Redmond, K McGuinness, N O’Connor
2022 Sixth IEEE International Conference on Robotic Computing (IRC), 302-305, 2022
Visual Question Answering 2.0
FR Sánchez
Universitat Politècnica de Catalunya. Escola Tècnica Superior d'Enginyeria …, 2017
Dataset Clustering for Improved Offline Policy Learning
Q Wang, Y Deng, FR Sanchez, K Wang, K McGuinness, N O'Connor, ...
arXiv preprint arXiv:2402.09550, 2024
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations
FR Sanchez, Q Wang, DC Bulens, K McGuinness, SJ Redmond, ...
2023 9th International Conference on Automation, Robotics and Applications …, 2023
Learning and reusing primitive behaviours to improve Hindsight Experience Replay sample efficiency
FR Sanchez, Q Wang, DC Bulens, K McGuinness, SJ Redmond, ...
arXiv preprint arXiv:2310.01827, 2023
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