The Robot Report
90 August 2019 http://www.designworldonline.comSeoul National UniversityA South Korean team of researchers has
developed Exo-Glove, which could help users
with day-to-day tasks.
A research team at Seoul National University
in South Korea has created a wearable hand robot
called the Exo-Glove Poly II that can aid people
who have lost hand mobility. The robot can detect
the user’s intention by collecting and analyzing
behaviors with machine learning.The research team at the Soft Robotics Research
Center (SRRC) in Seoul is led by Prof. Sungho Jo
from the Korea Advanced Institute of Science
& Technology (KAIST) and Kyu-Jin Cho at Seoul
National University. Collaborators include Daekyum
Kim and Jeesoo Ha from KAIST, as well as Brian
Byunghyun Kang, Kyu Bum Kim, Hyungmin Choi from
Seoul National University.
The SRRC team has proposed a new intention-
detection paradigm for soft wearable hand robots.
It predicts grasping and releasing intentions based
on user behaviors, enabling spinal cord injury (SCI)
patients with lost hand mobility to pick and place
objects.
The researchers developed a method based
on an algorithm that predicts user intentions for
wearable hand robots by using a first-person-
view camera. Their development is based on the
hypothesis that user intentions can be inferredUses Machine Learning to
Detect Wearer’s Intent
Robotic Hand
The vision-based machine learning algorithm.
| Soft Robotics Research Center, Seoul National UniversityA
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