10.5281/zenodo.3670961
https://zenodo.org/records/3670961
oai:zenodo.org:3670961
Bujalance Martín, Jesús
Jesús
Bujalance Martín
MINES ParisTech, PSL Research University, Center for Robotics
Moutarde, Fabien
Fabien
Moutarde
MINES ParisTech, PSL Research University, Center for Robotics
Real-time gestural control of robot manipulator through Deep Learning human-pose inference
Zenodo
2019
2019-09-23
eng
10.5281/zenodo.3670960
https://zenodo.org/communities/collaborate_project
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
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 collaborative 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.
European Commission
10.13039/501100000780
820767
Co-production CeLL performing Human-Robot Collaborative AssEmbly