眼睛比手快：一种柔软可穿戴机器人从自我中心视角学习用户意图。
Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view.
作者信息
Kim Daekyum, Kang Brian Byunghyun, Kim Kyu Bum, Choi Hyungmin, Ha Jeesoo, Cho Kyu-Jin, Jo Sungho
机构信息
Soft Robotics Research Center, Seoul National University, Seoul 08826, Korea.
Neuro-Machine Augmented Intelligence Laboratory, School of Computing, KAIST, Daejeon 34141, Korea.
出版信息
Sci Robot. 2019 Jan 30;4(26). doi: 10.1126/scirobotics.aav2949.
PMID:33137763
Abstract
To perceive user intentions for wearable robots, we present a learning-based intention detection methodology using a first-person-view camera.
摘要
为了感知可穿戴机器人的用户意图，我们提出了一种基于学习的意图检测方法，该方法使用第一人称视角摄像头。
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