ISSN: 2319-9873
Loris Roveda
IRAS Group, Italy
Posters & Accepted Abstracts: JET
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.
E-mail:
loris.roveda@gmail.com