Experimental force-torque dataset for robot learning of multi-shape insertion
G. De Magistris, A. Munawar, T.-H. Pham, T. Inoue, P. Vinayavekhin, R. Tachibana, 36th Annual Conference of the Robotics Society of Japan (RSJ), Kasugai, Japan, September, 2018. [pdf], [video].

OptLayer - practical constrained optimization for deep reinforcement learning in the real world
T.-H. Pham, G. De Magistris, R. Tachibana, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May, 2018. [pdf], [video].

MaestROB: a robotics framework for integrated orchestration of low-level control and high-level reasoning
A. Munawar, G. De Magistris, T.-H. Pham, D. Kimura, M. Tatsubori, T. Moriyama, R. Tachibana, G. Booch, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May, 2018. [pdf], [video].

Multi-contact interaction force sensing from whole-body motion capture
T.-H. Pham, S. Caron, A. Kheddar, IEEE Transactions on Industrial Informatics (TII), 2017. [pdf], [dataset]

Hand-object contact force estimation from markerless visual tracking
T.-H. Pham, N. Kyriazis, A. A. Argyros, A. Kheddar, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). [pdf], [video], [dataset].

Whole-body contact force sensing from motion capture
T.-H. Pham, A. Bufort, S. Caron, A. Kheddar, “Whole-Body Contact Force Sensing From Motion Capture”, in IEEE/SICE International Symposium on System Integration (SII), Sapporo, Japan, December, 2016. Best Paper Award. [pdf].

Capturing and reproducing hand-object interactions through vision-based force sensing
T.-H. Pham, A. Kheddar, A. Qammaz, A. A. Argyros, IEEE ICCV Workshop on Object Understanding for Interaction (OUI), Santiago, Chile, December, 2015. [pdf].

Towards force sensing from vision: observing hand-object interactions to infer manipulation forces
T.-H. Pham, A. Kheddar, A. Qammaz, A. A. Argyros, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, June, 2015. [pdf], [video].