Please give a lot of attention and participation from the members of the Mechanical Engineering department.

▣ Title: Electronic skin with AI for Augmented Human-Machine Interface

▣ Speaker: 김권규 박사

▣ Affiliation: Bao Group, Stanford University

▣ Date:2022. 12. 29.(Thu) 16:00

▣ Venue:제4공학관 D404호 

▣ Host: 김우철 교수

▣ Abstract

Technologies for human-machine interface plays a key role in human augmentation, prosthetics, robot learning, and virtual reality. Specifically, devices for tracking our hand enables a variety of interactive and virtual tasks such as object recognition, manipulation and even communication. However, there remains a big gap in capabilities compared to human in terms of precision, fast learning, and low-power consumption. In this talk, I explain the newly developed fast-learnable electronic skin device which enables user-independent, data-efficient recognition of different hand tasks. This work is the first practical approach that is both lean enough in form and adaptable enough to work for essentially any user with limited data. The developed system rapidly adapts to various users and tasks, including command recognition, keyboard typing, and object recognition in virtual space.