Следене
Don Joven Agravante
Don Joven Agravante
Research Scientist, IBM Research, Tokyo Research Lab
Потвърден имейл адрес: ibm.com
Заглавие
Позовавания
Позовавания
Година
Collaborative human-humanoid carrying using vision and haptic sensing
DJ Agravante, A Cherubini, A Bussy, P Gergondet, A Kheddar
2014 IEEE international conference on robotics and automation (ICRA), 607-612, 2014
1052014
Visual servoing in an optimization framework for the whole-body control of humanoid robots
DJ Agravante, G Claudio, F Spindler, F Chaumette
IEEE Robotics and Automation Letters 2 (2), 608-615, 2016
402016
Human-humanoid collaborative carrying
DJ Agravante, A Cherubini, A Sherikov, PB Wieber, A Kheddar
IEEE Transactions on Robotics 35 (4), 833-846, 2019
322019
Walking pattern generators designed for physical collaboration
DJ Agravante, A Sherikov, PB Wieber, A Cherubini, A Kheddar
2016 IEEE International conference on Robotics and Automation (ICRA), 1573-1578, 2016
322016
Visual servoing for the REEM humanoid robot's upper body
DJ Agravante, J Pages, F Chaumette
2013 IEEE International Conference on Robotics and Automation, 5253-5258, 2013
282013
Human-humanoid joint haptic table carrying task with height stabilization using vision
DJ Agravante, A Cherubini, A Bussy, A Kheddar
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
212013
Focusing on what is relevant: Time-series learning and understanding using attention
P Vinayavekhin, S Chaudhury, A Munawar, DJ Agravante, G De Magistris, ...
2018 24th International Conference on Pattern Recognition (ICPR), 2624-2629, 2018
182018
Using vision and haptic sensing for human-humanoid joint actions
DJ Agravante, A Cherubini, A Kheddar
2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM), 13-18, 2013
92013
Active vision for pose estimation applied to singularity avoidance in visual servoing
DJ Agravante, F Chaumette
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
72017
Neuro-Symbolic Reinforcement Learning with First-Order Logic
D Kimura, M Ono, S Chaudhury, R Kohita, A Wachi, DJ Agravante, ...
arXiv preprint arXiv:2110.10963, 2021
62021
Data-efficient framework for real-world multiple sound source 2D localization
G Le Moing, P Vinayavekhin, DJ Agravante, T Inoue, J Vongkulbhisal, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
State Prediction in TextWorld with a Predicate-Logic Pointer Network Architecture
C Sautier, DJ Agravante, M Tatsubori
In Workshop on Knowledge-based Reinforcment Learning at IJCAI-20, 2020
52020
Learning multiple sound source 2d localization
G Le Moing, P Vinayavekhin, T Inoue, J Vongkulbhisal, A Munawar, ...
2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP …, 2019
52019
AI Planning Annotation in Reinforcement Learning: Options and Beyond
J Lee, M Katz, DJ Agravante, M Liu, T Klinger, M Campbell, S Sohrabi, ...
Planning and Reinforcement Learning PRL Workshop at ICAPS, 2021
42021
Dual arm manipulation and whole body control with the humanoid robot Romeo by visual servoing
G Claudio, DJ Agravante, F Spindler, F Chaumette
42016
LOA: Logical Optimal Actions for Text-based Interaction Games
D Kimura, S Chaudhury, M Ono, M Tatsubori, DJ Agravante, A Munawar, ...
arXiv preprint arXiv:2110.10973, 2021
32021
Constrained exploration and recovery from experience shaping
TH Pham, G De Magistris, DJ Agravante, S Chaudhury, A Munawar, ...
arXiv preprint arXiv:1809.08925, 2018
22018
Imitation learning by action shaping with antagonist reinforcement learning
TH Pham, G De Magistris, DJR Agravante, R Tachibana
US Patent App. 16/048,810, 2020
12020
Learning to Set Planning Goals for TextWorld by Deep Neural Semantic Parsing
DJ Agravante, M Tatsubori
人工知能学会全国大会論文集 第 34 回 (2020), 3F5ES205-3F5ES205, 2020
12020
Deep learning with predictive control for human motion tracking
DJ Agravante, G De Magistris, A Munawar, P Vinayavekhin, R Tachibana
arXiv preprint arXiv:1808.02200, 2018
12018
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