Evolution of Industrial Robots from the Perspective of the Metaverse: Integration of Virtual and Physical Realities and Human-Robot Collaboration

被引:1
|
作者
You, Jing [1 ]
Wu, Zhiyuan [1 ]
Wei, Wei [2 ]
Li, Ning [1 ]
Yang, Yuhua [3 ]
机构
[1] Changzhou Univ, Sch Software, Sch Comp Sci & Artificial Intelligence, Aliyun Sch Big Data, Changzhou 213161, Peoples R China
[2] Chengdu Univ Informat Technol, Sch Comp Sci, Chengdu 610225, Peoples R China
[3] Changzhou Inspect Testing & Stand Accreditat Inst, Changzhou 213164, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 14期
关键词
Industry; 4.0; metaverse technology; industrial robots; ROS; virtual-physical integration; human-robot collaboration;
D O I
10.3390/app14146369
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
During the transition from Industry 4.0 to Industry 5.0, industrial robotics technology faces the need for intelligent and highly integrated development. Metaverse technology creates immersive and interactive virtual environments, allowing technicians to perform simulations and experiments in the virtual world, and overcoming the limitations of traditional industrial operations. This paper explores the application and evolution of metaverse technology in the field of industrial robotics, focusing on the realization of virtual-real integration and human-machine collaboration. It proposes a design framework for a virtual-real interaction system based on the ROS and WEB technologies, supporting robot connectivity, posture display, coordinate axis conversion, and cross-platform multi-robot loading. This paper emphasizes the study of two key technologies for the system: virtual-real model communication and virtual-real model transformation. A general communication mechanism is designed and implemented based on the ROS, using the ROS topic subscription to achieve connection and real-time data communication between physical robots and virtual models, and utilizing URDF model transformation technology for model invocation and display. Compared with traditional simulation software, i.e., KUKA Sim PRO (version 1.1) and RobotStudio (version 6.08), the system improves model loading by 45.58% and 24.72%, and the drive response by 41.50% and 28.75%. This system not only supports virtual simulation and training but also enables the operation of physical industrial robots, provides persistent data storage, and supports action reproduction and offline data analysis and decision making.
引用
收藏
页数:23
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