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Tu-Hoa Pham
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2020 – today
- 2021
- [j3]Tu-Hoa Pham
, William Seto, Shreyansh Daftry
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. IEEE Robotics Autom. Lett. 6(2): 4009-4016 (2021) - [i8]Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric A. Kulczycki, Renaud Detry:
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching. CoRR abs/2103.03395 (2021) - [i7]Shreyansh Daftry, Barry Ridge, William Seto, Tu-Hoa Pham, Peter Ilhardt, Gerard Maggiolino, Mark Van der Merwe, Alexander Brinkman, John Mayo, Eric Kulczyski, Renaud Detry:
Machine Vision based Sample-Tube Localization for Mars Sample Return. CoRR abs/2103.09942 (2021)
2010 – 2019
- 2018
- [j2]Tu-Hoa Pham
Hand-Object Contact Force Estimation from Markerless Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2883-2896 (2018) - [j1]Tu-Hoa Pham
Multicontact Interaction Force Sensing From Whole-Body Motion Capture. IEEE Trans. Ind. Informatics 14(6): 2343-2352 (2018) - [c4]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. ICRA 2018: 527-534 - [c3]Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana:
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World. ICRA 2018: 6236-6243 - [i6]Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch:
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning. CoRR abs/1806.00802 (2018) - [i5]Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana:
Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion. CoRR abs/1807.06749 (2018) - [i4]Takao Moriyama, Giovanni De Magistris, Michiaki Tatsubori, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Reinforcement Learning Testbed for Power-Consumption Optimization. CoRR abs/1808.10427 (2018) - [i3]Tu-Hoa Pham, Giovanni De Magistris, Don Joven Agravante, Subhajit Chaudhury, Asim Munawar, Ryuki Tachibana:
Constrained Exploration and Recovery from Experience Shaping. CoRR abs/1809.08925 (2018) - [i2]Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana:
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation. CoRR abs/1810.01108 (2018) - 2017
- [i1]Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana:
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World. CoRR abs/1709.07643 (2017) - 2016
- [b1]Tu-Hoa Pham:
Contact force sensing from motion tracking. (Capture de forces de contact par capture de mouvement). University of Montpellier, France, 2016 - [c2]Tu-Hoa Pham, Adrien Bufort, Stéphane Caron, Abderrahmane Kheddar
Whole-body contact force sensing from motion capture. SII 2016: 58-63 - 2015
- [c1]Tu-Hoa Pham, Abderrahmane Kheddar
Towards force sensing from vision: Observing hand-object interactions to infer manipulation forces. CVPR 2015: 2810-2819
Coauthor Index
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