Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization

Autor: Ryuki Tachibana, Guillaume Le Moing, Jayakorn Vongkulbhisal, Tadanobu Inoue, Don Joven Agravante, Phongtharin Vinayavekhin, Asim Munawar

Publikováno v: ICASSP

Deep neural networks have recently led to promising results for the task of multiple sound source localization. Yet, they require a lot of training data to cover a variety of acoustic conditions and microphone array layouts. One can leverage acoustic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e8e0d58875a425af8a785efa6fcb916
https://doi.org/10.1109/icassp39728.2021.9413695

Human-Humanoid Collaborative Carrying

Autor: Don Joven Agravante, Abderrahmane Kheddar, Alexander Sherikov, Andrea Cherubini, Pierre-Brice Wieber

Publikováno v: IEEE Transactions on Robotics
IEEE Transactions on Robotics, IEEE, In press, 35 (4), pp.833-846. ⟨10.1109/TRO.2019.2914350⟩
IEEE Transactions on Robotics, inPress, 35 (4), pp.833-846. ⟨10.1109/TRO.2019.2914350⟩

International audience; This paper contributes to the field of physical human-robot collaboration. We present a complete control framework, which aims at making humanoid robots capable of carrying objects together with humans. First, we design a temp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214f16778897626a4575b4ee30af2982
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01311154v3/file/tro-agravante_revised.pdf

Active vision for pose estimation applied to singularity avoidance in visual servoing

Autor: Don Joven Agravante, François Chaumette

Publikováno v: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'17
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'17, Sep 2017, Vancouver, Canada. pp.2947-2952
IROS

International audience; In active vision, the camera motion is controlled in order to improve a certain visual sensing strategy. In this paper, we formulate an active vision task function to improve pose estimation. This is done by defining an optima

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89171a709a40217178507963049cf77d
https://hal.inria.fr/hal-01589882

Walking pattern generators designed for physical collaboration

Autor: Pierre-Brice Wieber, Don Joven Agravante, Alexander Sherikov, Abderrahmane Kheddar, Andrea Cherubini

Publikováno v: ICRA
33rd IEEE International Conference on Robotics and Automation
ICRA: International Conference on Robotics and Automation
ICRA: International Conference on Robotics and Automation, May 2016, Stockholm, Sweden. pp.1573-1578, ⟨10.1109/ICRA.2016.7487296⟩

International audience; This paper is about the design of humanoid walking pattern generators to be used for physical collaboration. A particular use case is a humanoid robot helping a human to carry large and/or heavy objects. To do this, we constru

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c7f0e203945941d4bcaba11fc090ba2
https://doi.org/10.1109/icra.2016.7487296

Using vision and haptic sensing for human-humanoid haptic joint actions

Autor: Andrea Cherubini, Don Joven Agravante, Abderrahmane Kheddar

Publikováno v: 6th Conference on Robotics, Automation and Mechatronics
RAM: Robotics, Automation and Mechatronics
RAM: Robotics, Automation and Mechatronics, Nov 2013, Manila, Philippines. pp.13-18, ⟨10.1109/RAM.2013.6758552⟩
RAM

International audience; Human-humanoid haptic joint actions are collaborative tasks requiring a sustained haptic interaction between both parties. As such, most research in this field has concentrated on how to use solely the robot's haptic sensing t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::152826dbc26030233456525fdf49eb04
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00908439/document