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Aymar de Rugy
2020 – today
- 2024
- [j13]Bianca Lento
, Vincent Leconte
, Lucas Bardisbanian
, Emilie Doat
, Effie Segas
, Aymar de Rugy
:
Bioinspired Head-to-Shoulder Reference Frame Transformation for Movement-Based Arm Prosthesis Control. IEEE Robotics Autom. Lett. 9(9): 7875-7882 (2024) - [j12]Iván González-Díaz, Miguel Molina-Moreno
, Jenny Benois-Pineau
, Aymar de Rugy
:
Asymmetric Multi-Task Learning for Interpretable Gaze-Driven Grasping Action Forecasting. IEEE J. Biomed. Health Informatics 28(12): 7517-7530 (2024) - [c3]Bolutife Atoki, Jenny Benois-Pineau, Fabien Baldacci, Aymar de Rugy:
Object Segmentation in the Wild with Foundation Models: Application to Vision Assisted Neuro-Prostheses for Upper Limbs. EUVIP 2024: 1-6 - 2022
- [j11]Sébastien Mick
, Arnaud Badets, Pierre-Yves Oudeyer, Daniel Cattaert, Aymar de Rugy
:
Biological Plausibility of Arm Postures Influences the Controllability of Robotic Arm Teleoperation. Hum. Factors 64(2): 372-384 (2022) - [j10]Attila Fejér
, Zoltán Nagy
, Jenny Benois-Pineau
, Péter Szolgay, Aymar de Rugy
, Jean-Philippe Domenger
:
Hybrid FPGA-CPU-Based Architecture for Object Recognition in Visual Servoing of Arm Prosthesis. J. Imaging 8(2): 44 (2022) - 2021
- [j9]Attila Fejér
, Zoltán Nagy
, Jenny Benois-Pineau, Péter Szolgay, Aymar de Rugy
, Jean-Philippe Domenger:
Implementation of Scale Invariant Feature Transform detector on FPGA for low-power wearable devices for prostheses control. Int. J. Circuit Theory Appl. 49(7): 2255-2273 (2021) - 2020
- [i2]Miltiadis Poursanidis, Jenny Benois-Pineau, Akka Zemmari, Boris Mansencal, Aymar de Rugy:
Move-to-Data: A new Continual Learning approach with Deep CNNs, Application for image-class recognition. CoRR abs/2006.07152 (2020)
2010 – 2019
- 2019
- [j8]Sébastien Mick, Mattieu Lapeyre, Pierre Rouanet, Christophe Halgand
, Jenny Benois-Pineau
, Florent Paclet, Daniel Cattaert, Pierre-Yves Oudeyer, Aymar de Rugy
:
Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies. Frontiers Neurorobotics 13: 65 (2019) - [j7]Iván González-Díaz
, Jenny Benois-Pineau
, Jean-Philippe Domenger, Daniel Cattaert, Aymar de Rugy
:
Perceptually-guided deep neural networks for ego-action prediction: Object grasping. Pattern Recognit. 88: 223-235 (2019) - [c2]Attila Fejér
, Zoltán Nagy, Jenny Benois-Pineau
, Péter Szolgay, Aymar de Rugy
, Jean-Philippe Domenger:
FPGA-based SIFT implementation for wearable computing. DDECS 2019: 1-4 - 2018
- [c1]Iván González-Díaz, Jenny Benois-Pineau
, Jean-Philippe Domenger, Aymar de Rugy:
Perceptually-guided Understanding of Egocentric Video Content: Recognition of Objects to Grasp. ICMR 2018: 434-441 - 2017
- [j6]Arnaud Badets, Thomas Michelet
, Aymar de Rugy
, François Osiurak:
Creating semantics in tool use. Cogn. Process. 18(2): 129-134 (2017) - [j5]Philippe Pérez de San Roman, Jenny Benois-Pineau
, Jean-Philippe Domenger
, Florent Paclet, Daniel Cattaert, Aymar de Rugy
:
Saliency Driven Object recognition in egocentric videos with deep CNN: toward application in assistance to Neuroprostheses. Comput. Vis. Image Underst. 164: 82-91 (2017) - [j4]Sébastien Mick, Daniel Cattaert, Florent Paclet
, Pierre-Yves Oudeyer, Aymar de Rugy
:
Performance and Usability of Various Robotic Arm Control Modes from Human Force Signals. Frontiers Neurorobotics 11: 55 (2017) - 2016
- [i1]Philippe Pérez de San Roman, Jenny Benois-Pineau, Jean-Philippe Domenger, Florent Paclet, Daniel Cattaert, Aymar de Rugy:
Saliency Driven Object recognition in egocentric videos with deep CNN. CoRR abs/1606.07256 (2016) - 2013
- [j3]Aymar de Rugy
, Gerald E. Loeb
, Timothy J. Carroll
:
Are muscle synergies useful for neural control? Frontiers Comput. Neurosci. 7: 19 (2013)
2000 – 2009
- 2006
- [j2]Aymar de Rugy
, Robin Salesse
, Olivier Oullier, Jean-Jacques Temprado:
A Neuro-Mechanical Model for Interpersonal Coordination. Biol. Cybern. 94(6): 427-443 (2006) - 2002
- [j1]Aymar de Rugy
, Gentaro Taga, Gilles Montagne
, Martinus J. Buekers, Michel Laurent:
Perception-action coupling model for human locomotor pointing. Biol. Cybern. 87(2): 141-150 (2002)

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