Learning Deep Neural Interaction Policy for ExoSkeleton Control
Developing a deep learning architecture to control a custom-built hip exoskeleton will help it adapt across different walking behaviors among users.
Heni Ben Amor
Heni Ben Amor, an assistant professor, was previously a research scientist at Georgia Tech’s Institute for Robotics and Intelligent Machines, where he led a project to improve robots for future applications in industrial settings, especially manufacturing.
Total projects: 3
Projects
A Deep Learning Autoencoder for EMG Changepoint Recognition in Robotic Applications
Elliot Nester
FURI: Spring 2018
Deep Predictive Models for Collision Risk Assessment in Autonomous Driving
Cesar Tamayo
FURI: Spring 2018
