Dynamic Motor Skill Synthesis with Human-Machine Mutual Actuation

要旨

This paper presents an approach for coupling robotic capability with human ability in dynamic motor skills, called "Human-Machine Mutual Actuation (HMMA)." We focus specifically on throwing motions and propose a method to control the release timing computationally. A system we developed achieves our concept, HMMA, by a robotic handheld device that acts as a release controller. We conducted user studies to validate the feasibility of the concept and clarify related technical issues to be tackled. We recognized that the system successfully performs on throwing according to the target while it exploits human ability. These empirical experiments suggest that robotic capability can be embedded into the users' motions without losing their senses of control. Throughout the user study, we also revealed several issues to be tackled in further research contributing to HMMA.

受賞
Honorable Mention
キーワード
Robotic device
Motor skill
Motion sensing
Human augmentation
Human-machine mutual actuation
著者
Azumi Maekawa
The University of Tokyo, Tokyo, Japan
Seito Matsubara
The University of Tokyo, Tokyo, Japan
Sohei Wakisaka
The University of Tokyo, Tokyo, Japan
Daisuke Uriu
The University of Tokyo, Tokyo, Japan
Atsushi Hiyama
The University of Tokyo, Tokyo, Japan
Masahiko Inami
The University of Tokyo, Tokyo, Japan
DOI

10.1145/3313831.3376705

論文URL

https://doi.org/10.1145/3313831.3376705

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Eye, tongue & muscle

Paper session
316B MAUI
5 件の発表
2020-04-27 23:00:00
2020-04-28 00:15:00
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