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Eyes are faster than hands: A soft wearable robot learns user intention from the egocentric view
Daekyum Kim1,2, Brian Byunghyun Kang1,3,4, Kyu Bum Kim1,3,4
1Soft Robotics Research Center, Seoul National University, Seoul 08826, Korea.
Science Robotics
|November 2, 2020
Abstract:
To perceive user intentions for wearable robots, we present a learning-based intention detection methodology using a first-person-view camera.
