  This paper contributes to a taxonomy of augmented reality and robotics based
on a survey of 460 research papers. Augmented and mixed reality (AR/MR) have
emerged as a new way to enhance human-robot interaction (HRI) and robotic
interfaces (e.g., actuated and shape-changing interfaces). Recently, an
increasing number of studies in HCI, HRI, and robotics have demonstrated how AR
enables better interactions between people and robots. However, often research
remains focused on individual explorations and key design strategies, and
research questions are rarely analyzed systematically. In this paper, we
synthesize and categorize this research field in the following dimensions: 1)
approaches to augmenting reality; 2) characteristics of robots; 3) purposes and
benefits; 4) classification of presented information; 5) design components and
strategies for visual augmentation; 6) interaction techniques and modalities;
7) application domains; and 8) evaluation strategies. We formulate key
challenges and opportunities to guide and inform future research in AR and
robotics.
