Digital Twin of Experience for Human–Robot Collaboration Through Virtual Reality

Abstract

The keyword “human digital twin” has received con-siderable attention in recent years, and information technology has been developed in healthcare and sports training systems to guide human behavior to a better state. In contrast, from optimizing the production and maintenance processes of industrial products, which is the origin of the term “digital twin,” intelligent robot systems can be interpreted as a mainstream of digital twin. In other words, assistive robots that support humans in their daily lives and improve their life behavior require the integration of human digital twin and conventional object digital twin. However, integrating these two digital twins is not easy from the viewpoint of system integration. In addition, it is nec-essary to encourage humans to change their behavior to provide users with subjective and immersive expe-riences rather than simply displaying numerical in-formation. This study reviews the current status and limitations of these digital twin technologies and proposes the concept of a virtual reality (VR) digital twin that integrates digital twins and VR toward assistive robotic systems. This will expand the experience of both humans and robots and open the way to the re-alization of robots that can better support our daily lives.