Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view

Daekyum Kim; Brian Byunghyun Kang; Kyu Bum Kim; Hyungmin Choi; Jeesoo Ha; Kyu-Jin Cho; Sungho Jo

doi:10.1126/scirobotics.aav2949

Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view

Sci Robot. 2019 Jan 30;4(26):eaav2949. doi: 10.1126/scirobotics.aav2949.

Authors

Daekyum Kim^{1

2}, Brian Byunghyun Kang^{1

3

4}, Kyu Bum Kim^{1

3

4}, Hyungmin Choi^{1

3

4}, Jeesoo Ha^{1

2}, Kyu-Jin Cho^{5

3

4}, Sungho Jo^{5

2}

Affiliations

¹ Soft Robotics Research Center, Seoul National University, Seoul 08826, Korea.
² Neuro-Machine Augmented Intelligence Laboratory, School of Computing, KAIST, Daejeon 34141, Korea.
³ Biorobotics Laboratory, Department of Mechanical Engineering, Seoul National University, Seoul 08826, Korea.
⁴ Institute of Advanced Machines and Design, Seoul National University, Seoul 08826, Korea.
⁵ Soft Robotics Research Center, Seoul National University, Seoul 08826, Korea. kjcho@snu.ac.kr shjo@kaist.ac.kr.

PMID: 33137763
DOI: 10.1126/scirobotics.aav2949

Abstract

To perceive user intentions for wearable robots, we present a learning-based intention detection methodology using a first-person-view camera.

Publication types

Review
Research Support, Non-U.S. Gov't