Francisco Roldan

According to our database, Francisco Roldan authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies.

Qiang Wang, Robert McCarthy, David Cordova Bulens, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond

IEEE Robotics Autom. Lett., February, 2024

Dataset Clustering for Improved Offline Policy Learning.

Qiang Wang, Yixin Deng, Francisco Roldan Sanchez, Keru Wang, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond

CoRR, 2024

Learning and Reusing Primitive Behaviours to Improve Hindsight Experience Replay Sample Efficiency.

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor

Proceedings of the 10th International Conference on Automation, Robotics and Applications, 2024

2023

Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward-based tasks.

Qiang Wang, Francisco Roldan Sanchez, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Manuel Wüthrich, Felix Widmaier, Stefan Bauer, Stephen J. Redmond

Expert Syst. J. Knowl. Eng., July, 2023

Behaviour Discriminator: A Simple Data Filtering Method to Improve Offline Policy Learning.

Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Stephen J. Redmond

CoRR, 2023

Hierarchical Reinforcement Learning for In-hand Robotic Manipulation Using Davenport Chained Rotations.

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Stephen J. Redmond, Noel E. O'Connor

Proceedings of the 9th International Conference on Automation, Robotics and Applications, 2023

Improving Behavioural Cloning with Positive Unlabeled Learning.

Qiang Wang, Robert McCarthy, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Francisco Roldan Sanchez, Nico Gürtler, Felix Widmaier, Stephen J. Redmond

Proceedings of the Conference on Robot Learning, 2023

2022

Towards advanced robotic manipulation.

Francisco Roldan Sanchez, Stephen J. Redmond, Kevin McGuinness, Noel E. O'Connor

Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022

2021

Real Robot Challenge using Deep Reinforcement Learning.

Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond

CoRR, 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2019

Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks.

Amanda Cardoso Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giró-i-Nieto

Proceedings of the IEEE International Conference on Acoustics, 2019