A Taxonomy of Functional Augmented Reality for Human-Robot Interaction
summary
Proposes a three‑dimension taxonomy that classifies AR in HRI by perception augmentation, functional role, and augmentation artifact type, maps 20 most‑cited AR‑for‑HRI papers (2011–2021) into it, and reports that 19 of 20 emphasize augmented human perception while only three omit augmented control functionality; highlights gaps: robot‑side perception is underexplored and augmented virtuality (AV) is largely absent, and suggests linking artifact types to robot tasks and human‑in‑the‑loop learning.
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