Invited talk by Paolo Gallina.

Title: Active learning, passive learning and mixed strategies in teleoperation tasks

Abstract: Passive learning refers to the process of learning motor or cognitive skills in an effortless fashion. It occurs in response to animated and synchronous stimuli. It has been applied in several fields: music playing learning, typing, memorization tasks, neurorehabilitation, etc. In a teleoperation task, when an operator is asked to move a slave system (generally a robotic device) by means of a pair of joysticks, an intensive, active and time-consuming training is required. This is because the link between the DoFs of the joysticks (i.e. the DoFs of the hands) and the DoFs of the kinematic structure of the slave is counterintuitive. Probably a total passive learning approach is useless for complicate teleopration tasks. But open questions remains about the opportunity to combine passive and active learning techniques.

Bio: Prof. Paolo Gallina received the Ph.D degree in Applied Mechanics from the University of Brescia, Brescia (Italy), in 1999. He was on the faculty of the University of Padova, Padova (Italy), from 1999 to 2002 as assistant Professor. He is currently associate professor of Applied Mechanics at the Department of Civil Engineering and Architecture, University of Trieste, Trieste (Italy). He was visiting professor at the Ohio University in 2000/1. In 2004 he was visiting professor at the Colorado University in order to collaborate on mechatronics and micromechanics fields. His interests are in vibrations, human-machine interfaces, robotics, especially applied to rehabilitation and cable-driven robots (80 publications). He has been involved in dozens of projects.

Date / Time: 
Monday, 28 July, 2014 - 09:30