Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Nicole Robinson, Brendan Tidd, Dylan Campbell, Dana Kuli\'c, Peter, Corke

TL;DR
This survey comprehensively reviews the last decade of robotic vision research in human-robot interaction, highlighting current trends, methods, and challenges in enabling robots to interpret human actions and collaborate effectively.
Contribution
It provides a systematic analysis of 310 key papers, identifying gaps in translating advanced computer vision techniques into human-robot interaction applications.
Findings
Robotic vision is mainly used for gesture recognition and social communication.
Few high-impact computer vision techniques have been adopted in HRI.
Significant progress in deploying robots for assistance and collaboration.
Abstract
Robotic vision for human-robot interaction and collaboration is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people. This survey and systematic review presents a comprehensive analysis on robotic vision in human-robot interaction and collaboration over the last 10 years. From a detailed search of 3850 articles, systematic extraction and evaluation was used to identify and explore 310 papers in depth. These papers described robots with some level of autonomy using robotic vision for locomotion, manipulation and/or visual communication to collaborate or interact with people. This paper provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, data sets and models, experimental testing, sample populations,…
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