Yoann Fleytoux

2 accepted papers

2023

Learning Height for Top-Down Grasps with the DIGIT Sensor

Thais Bernardi, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi

ICRA 2023poster

We address the problem of grasping unknown objects identified from top-down images with a parallel gripper. When no object 3D model is available, the state-of-the-art grasp generators identify the best candidate locations for planar grasps using the RGBD image. However, while they generate the Carte…

Cited by 1 Source ↗Scholar ↗

2022

Data-efficient learning of object-centric grasp preferences

Yoann Fleytoux, Anji Ma, Serena Ivaldi, Jean-Baptiste Mouret

ICRA 2022poster

Grasping made impressive progress during the last few years thanks to deep learning. However, there are many objects for which it is not possible to choose a grasp by only looking at an RGB-D image, might it be for physical reasons (e.g., a hammer with uneven mass distribution) or task constraints (…

Cited by 7 Source ↗Scholar ↗