Robotic manufacturing systems: A survey on technologies to improve the cognitive level in HRI

Abstract

Human-robot interaction (HRI) plays an increasingly important role in modern manufacturing processes, as it greatly improves manufacturing efficiency, flexibility, and intelligence. However, some problems related to the cognitive level during the human interaction process still exist, which may hinder the manufacturing accuracy and efficiency, and even present a potential threat to humans who work in the same workspace. Therefore, this study conducts an in-depth survey on current non-exhaustive cognitive technologies such as sensing, motion planning, artificial intelligence, and human-inspired technologies, which are the key aspects for improving the cognitive level of robotic manufacturing systems in HRI. In addition, considering the limitations of current cognitive technologies, the authors present a multidisciplinary cognitive framework to improve the cognitive level of robotic manufacturing systems for intelligent HRI.