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François Hélénon
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2020 – today
- 2024
- [c5]Johann Huber, François Hélénon, Hippolyte Watrelot, Faïz Ben Amar, Stéphane Doncieux:
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets. ICRA 2024: 4112-4118 - [i5]Johann Huber, François Hélénon, Mathilde Kappel, Elie Chelly, Mahdi Khoramshahi, Faïz Ben Amar, Stéphane Doncieux:
Speeding up 6-DoF Grasp Sampling with Quality-Diversity. CoRR abs/2403.06173 (2024) - [i4]Johann Huber, François Hélénon, Mathilde Kappel, Ignacio de Loyola Páez-Ubieta, Santiago T. Puente, Pablo Gil, Faïz Ben Amar, Stéphane Doncieux:
QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity. CoRR abs/2410.02319 (2024) - 2023
- [c4]François Hélénon, Stéphane Thiery, Eric Nyiri, Olivier Gibaru:
A Cognitive Architecture for Human-Aware Interactive Robot Learning with Industrial Collaborative Robots. ROBOT (1) 2023: 417-430 - [i3]Johann Huber, François Hélénon, Miranda Coninx, Faïz Ben Amar, Stéphane Doncieux:
Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics. CoRR abs/2308.05483 (2023) - [i2]François Hélénon, Johann Huber, Faïz Ben Amar, Stéphane Doncieux:
Learning to Grasp: from Somewhere to Anywhere. CoRR abs/2310.04349 (2023) - [i1]Johann Huber, François Hélénon, Hippolyte Watrelot, Faïz Ben Amar, Stéphane Doncieux:
Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets. CoRR abs/2310.04517 (2023) - 2021
- [c3]François Hélénon, Stéphane Thiery, Eric Nyiri, Olivier Gibaru:
Cognitive architecture for intuitive and interactive task learning in industrial collaborative robotics. ICRCA 2021: 119-124 - 2020
- [c2]François Hélénon, Laurent Bimont, Eric Nyiri, Stéphane Thiery, Olivier Gibaru:
Learning prohibited and authorised grasping locations from a few demonstrations. RO-MAN 2020: 1094-1100
2010 – 2019
- 2019
- [c1]Richard Guillemard, François Hélénon, Bruno Petit, Vincent Gay-Bellile, Mathieu Carrier:
Stationary Detector for Monocular Visual-Inertial SLAM. IPIN 2019: 1-8
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