ISSN: 2319-9873

Reach Us +44 7456 035580
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Human-robot collaboration in i4.0: Control methodologies exploiting machine learning techniques


2nd International Conference on Robotics and Artificial Intelligence

May 23-24, 2019 | Vienna, Austria

Loris Roveda

IRAS Group, Italy

Posters & Accepted Abstracts: JET

Abstract

Advanced human-robot collaboration is at the basis of the I4.0 paradigm. New-generation manipulators have to be capable to adapt their behavior to the human intentions, in order to assist and relieve them during tasks execution. In the last years, control approaches are then exploiting machine learning techniques, in order to adapt the manipulator behavior to the interaction with the human, optimizing control parameters. The talk will, therefore, describe such a research scenario, introducing some practical examples.

Biography

E-mail:

loris.roveda@gmail.com