Real-time gestural control of robot manipulator through Deep Learning human-pose inference - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année :

Real-time gestural control of robot manipulator through Deep Learning human-pose inference

(1) , (1)
1
Fabien Moutarde

Résumé

With the raise of collaborative robots, human-robot interaction needs to be as natural as possible. In this work, we present a framework for real-time continuous motion control of a real collabora-tive robot (cobot) from gestures captured by an RGB camera. Through deep learning existing techniques, we obtain human skeletal pose information both in 2D and 3D. We use it to design a controller that makes the robot mirror in real-time the movements of a human arm or hand.
Fichier principal
Vignette du fichier
workshop_ICVS_final_BUJALANCE_Jesus.pdf (1.89 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02276236 , version 1 (02-09-2019)

Identifiants

  • HAL Id : hal-02276236 , version 1

Citer

Jesus Bujalance, Fabien Moutarde. Real-time gestural control of robot manipulator through Deep Learning human-pose inference. Int. Conf. on Computer Vision Systems, Sep 2019, Thessalonique, Greece. ⟨hal-02276236⟩
205 Consultations
781 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More