Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review
Citations Over TimeTop 10% of 2022 papers
Abstract
Robotic vision, otherwise known as computer vision for robots, 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 (HRI/C) over the past 10 years. From a detailed search of 3,850 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 article provides an in-depth analysis of current trends, common domains, methods and procedures, technical processes, datasets and models, experimental testing, sample populations, performance metrics, and future challenges. 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 HRI/C. Overall, notable advancements have been made on how to develop and deploy robots to assist people.
Related Papers
- → ARROCH: Augmented Reality for Robots Collaborating with a Human(2021)33 cited
- → “Should I Follow the Human, or Follow the Robot?” — Robots in Power Can Have More Influence Than Humans on Decision-Making(2023)18 cited
- → Human-Robot Interaction and Collaborative Manipulation with Multimodal Perception Interface for Human(2019)6 cited
- → Investigation of a Human’s Opinion Affected by Social Influence of a Group Norm in a Human-Robot Group After a Human-Robot Scenario(2020)