Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
This paper contributes to a taxonomy of augmented reality and robotics based on a survey of 460 research papers and formulate key challenges and opportunities to guide and inform future research in AR and robotics.
Abstract
This paper contributes to a taxonomy of augmented reality and robotics based\non a survey of 460 research papers. Augmented and mixed reality (AR/MR) have\nemerged as a new way to enhance human-robot interaction (HRI) and robotic\ninterfaces (e.g., actuated and shape-changing interfaces). Recently, an\nincreasing number of studies in HCI, HRI, and robotics have demonstrated how AR\nenables better interactions between people and robots. However, often research\nremains focused on individual explorations and key design strategies, and\nresearch questions are rarely analyzed systematically. In this paper, we\nsynthesize and categorize this research field in the following dimensions: 1)\napproaches to augmenting reality; 2) characteristics of robots; 3) purposes and\nbenefits; 4) classification of presented information; 5) design components and\nstrategies for visual augmentation; 6) interaction techniques and modalities;\n7) application domains; and 8) evaluation strategies. We formulate key\nchallenges and opportunities to guide and inform future research in AR and\nrobotics.\n