| 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 | 168 | 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 | 103 | 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 | 88 | 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 | 78 | 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 | 22 | 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 | 15 | 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 | 10 | 2021 |
| 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 | 9 | 2018 |
| 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 | 9 | 2015 |
| 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 | 8 | 2016 |
| Constraining actions for reinforcement learning under safety requirements TH Pham, G De Magistris, R Tachibana US Patent 11,468,310, 2022 | 6 | 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 | 5 | 2021 |
| Action shaping from demonstration for fast reinforcement learning TH Pham, DJR Agravante, G De Magistris, R Tachibana US Patent 11,501,157, 2022 | 4 | 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 | 4 | 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 | 3 | 2022 |
| 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 | 3 | 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 | 3 | 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 | 2 | 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 | 1 | 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 | | 2023 |
Ryuki TachibanaIBM Research - TokyoBestätigte E-Mail-Adresse bei jp.ibm.com
