動作技能の習得は,多くの場合において動作の観察や言語的説明に頼らざるを得ず,しばしば非直感的な作業となる.Naviarmは装着型ロボットを用いて動作習得支援を行うシステムである.バックパック型の双腕ロボットアームによって装着者の両腕動作軌道を再生・記録可能にすることで,使用者に対して身体軌道を力触覚として提示可能なシステムを開発した.これにより,初心者が熟練者の身体動作を力触覚情報として利用することを可能にした.
2260457 33386XWT items 1 0 default asc 822 https://star.rcast.u-tokyo.ac.jp/wp-content/plugins/zotpress/
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Azumi Maekawa, Shota Takahashi, MHD Yamen Saraiji, Sohei Wakisaka, Hiroyasu Iwata, and Masahiko Inami. 2019. Naviarm: Augmenting the Learning of Motor Skills Using a Backpack-type Robotic Arm System. In Proceedings of the 10th Augmented Human International Conference 2019 (AH2019), 38:1-38:8. https://doi.org/10.1145/3311823.3311849