4 papers
Data-efficient learning of object-centric grasp preferences
Yoann Fleytoux, Anji Ma, Serena Ivaldi +1
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…
VP-GO: a "light" action-conditioned visual prediction model
Anji Ma, Yoann Fleytoux, Jean-Bapstiste Mouret +1
Visual prediction models are a promising solution for visual-based robotic grasping of cluttered, unknown soft objects. Previous models from the literature are computationally gree…
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
Serena Ivaldi, Pauline Maurice, Waldez Gomes +12
We conducted a pilot study to evaluate the potential and feasibility of back-support exoskeletons to help the caregivers in the Intensive Care Unit (ICU) of the University Hospital…
A Variational Time Series Feature Extractor for Action Prediction
Maxime Chaveroche, Adrien Malaisé, Francis Colas +2
We propose a Variational Time Series Feature Extractor (VTSFE), inspired by the VAE-DMP model of Chen et al., to be used for action recognition and prediction. Our method is based…