  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, performance metrics and
future challenges. This manuscript found that robotic vision was often used in
action and gesture recognition, robot movement in human spaces, object handover
and collaborative actions, social communication and learning from
demonstration. Few high-impact and novel techniques from the computer vision
field had been translated into human-robot interaction and collaboration.
Overall, notable advancements have been made on how to develop and deploy
robots to assist people.
