Naviarm: Augmenting the Learning of Motor Skills using a Backpack-type Robotic Arm System

We present a wearable haptic assistance robotic system for augmented motor learning called Naviarm. This system comprises two robotic arms that are mounted on a user’s body and are used to transfer one person’s motion to another offline. Naviarm pre-records the arm motion trajectories of an expert via the mounted robotic arms and then plays back these recorded trajectories to share the expert’s body motion with a beginner. The Naviarm system is an ungrounded system and provides mobility for the user to conduct a variety of motions. We focus on the temporal aspect of motor skill and use a mime performance as a case study learning task. We verified the system effectiveness for motor learning using the conducted experiments. The results suggest that the proposed system has benefits for learning sequential skill.

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.