Tu-Hoa Pham
Tu-Hoa Pham
NASA Jet Propulsion Laboratory
Verified email at - Homepage
Cited by
Cited by
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
TH Pham, G De Magistris, R Tachibana
Robotics and Automation (ICRA), 2018 IEEE International Conference on, 2018
Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces
TH Pham, A Kheddar, A Qammaz, AA Argyros
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Reinforcement learning testbed for power-consumption optimization
T Moriyama, G De Magistris, M Tatsubori, TH Pham, A Munawar, ...
Methods and Applications for Modeling and Simulation of Complex Systems …, 2018
Hand-object contact force estimation from markerless visual tracking
TH Pham, N Kyriazis, AA Argyros, A Kheddar
IEEE transactions on pattern analysis and machine intelligence 40 (12), 2883 …, 2017
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning
A Munawar, G De Magistris, TH Pham, D Kimura, M Tatsubori, ...
Robotics and Automation (ICRA), 2018 IEEE International Conference on, 2018
Multicontact interaction force sensing from whole-body motion capture
TH Pham, S Caron, A Kheddar
IEEE Transactions on Industrial Informatics 14 (6), 2343-2352, 2017
Machine vision based sample-tube localization for mars sample return
S Daftry, B Ridge, W Seto, TH Pham, P Ilhardt, G Maggiolino, ...
2021 IEEE Aerospace Conference (50100), 1-12, 2021
Capturing and Reproducing Hand-Object Interactions Through Vision-Based Force Sensing
TH Pham, A Kheddar, A Qammaz, AA Argyros
IEEE ICCV Workshop on Object Understanding for Interaction, 2015
Experimental force-torque dataset for robot learning of multi-shape insertion
G De Magistris, A Munawar, TH Pham, T Inoue, P Vinayavekhin, ...
arXiv preprint arXiv:1807.06749, 2018
Whole-body contact force sensing from motion capture
TH Pham, A Bufort, S Caron, A Kheddar
2016 IEEE/SICE International Symposium on System Integration (SII), 58-63, 2016
Constraining actions for reinforcement learning under safety requirements
TH Pham, G De Magistris, R Tachibana
US Patent 11,468,310, 2022
Constrained exploration and recovery from experience shaping
TH Pham, G De Magistris, DJ Agravante, S Chaudhury, A Munawar, ...
arXiv preprint arXiv:1809.08925, 2018
Imitation learning by action shaping with antagonist reinforcement learning
TH Pham, G De Magistris, DJR Agravante, R Tachibana
US Patent 11,537,872, 2022
Rover relocalization for mars sample return by virtual template synthesis and matching
TH Pham, W Seto, S Daftry, B Ridge, J Hansen, T Thrush, ...
IEEE Robotics and Automation Letters 6 (2), 4009-4016, 2021
Rover localization for tube pickup: Dataset, methods and validation for mars sample return planning
TH Pham, W Seto, S Daftry, A Brinkman, J Mayo, Y Cheng, C Padgett, ...
2020 IEEE Aerospace Conference, 1-11, 2020
Video imitation gan: Learning control policies by imitating raw videos using generative adversarial reward estimation
S Chaudhury, D Kimura, TH Pham, A Munawar, R Tachibana
arXiv preprint arXiv:1810.01108, 2018
Sequential learning of constraints for hierarchical reinforcement learning
DJR Agravante, G De De Magistris, TH Pham, R Tachibana
US Patent 11,734,575, 2023
Safe and fast exploration for reinforcement learning using constrained action manifolds
G De Magistris, TH Pham, A Munawar, R Tachibana
US Patent 11,823,039, 2023
Pose Estimation for Rover-to-Lander Tube Transfer for Mars Sample Return
N Mavrakis, TH Pham, P Bailey
2023 IEEE Aerospace Conference, 1-10, 2023
Action shaping from demonstration for fast reinforcement learning
TH Pham, DJR Agravante, G De Magistris, R Tachibana
US Patent 11,501,157, 2022
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