# Virtual Simulation and Experiment of Quality Inspection Robot Workstation
## 1 Introduction  
With the rapid development of industrial automation and next-generation information technology, robots have become a key research area in intelligent manufacturing [1]. Quality inspection robot workstations offer advantages such as high detection efficiency, accuracy, and flexibility, playing a significant role in improving quality, inspection efficiency, and accuracy on production lines. However, the long design cycle and high construction costs of quality inspection robot workstations make it challenging to perform effective simulation validation during the design phase. The introduction of virtual reality presents new opportunities for industrial simulation. Virtual reality technology precisely simulates industrial production environments and processes, including machine operations and changes in physical conditions. It creates an immersive, three-dimensional virtual environment. Engineers can accurately simulate the operation process of robot workstations in this virtual environment, assisting designers in rapidly constructing product models and evaluating and optimizing the performance of robot workstations [2; 3; 4; 5]. Applying VR technology for simulation testing is a cost-effective and efficient approach, providing an effective means for evaluating industrial quality inspection robot workstations. Currently, virtual reality technology is widely applied in the industrial sector. Scholars have conducted research in areas such as production and manufacturing. [PERSON] [6] constructed a digital twin of a robot using the Unity3D platform. Through the use of virtual-to-real mapping techniques, the simulation achieved real-time visualization andmonitoring of robot milling motion. [PERSON] [7] introduced an integrated approach to designing human-robot collaborative workstations in industrial workshops. By leveraging virtual reality (VR) technology, this method enables designers to create interactive workstation prototypes and validate design outcomes during the early stages of development. [PERSON] [8] devised an image acquisition technique for a 6-DOF serial robot, utilizing industrial cameras. The detection system's digital twin unit was established, and the proposed UR10 robot kinematics model and acquisition trajectory planning method were implemented. The Unity3D software facilitated the configuration of the digital twin environment for the detection system. [PERSON] [9] proposed a deep reinforcement learning (DRL) approach to address the motion planning problem for robot arms. This method enables the reflection of human hand movements onto the robotic arm. By constructing a virtual reality environment platform, users can smoothly control the position and orientation of the robot's end effector through hand movements. [PERSON] [10] proposed the use of immersive digital twin (DT) to implement an industrial process monitoring and control architecture for manufacturing execution systems (MES). Cyberphysical systems, MES, robotics, the Internet of Things, virtual reality, and Open Platform Communications Unified Architecture (OPC UA) communication protocols are used to integrate these technologies and enhance the capabilities of the DT by providing higher performance. However, research on virtual reality technology in the field of quality inspection robot workstations is relatively scarce. To address the aforementioned issues, we propose a method that utilizes VR technology to develop a simulation platform for quality inspection robot workstations. Through this virtual simulation platform, we conduct testing of quality inspection robot workstations, validate the rationality of workstation designs, and accelerate the design, testing, and deployment process of quality inspection robot workstations. Our key contributions are as follows:  
1. Design of a virtual reality framework for quality inspection robot workstations: We develop a virtual reality framework for quality inspection robot workstations.