The Software Verification Tool Examines the Research and Application of Intelligent Robots

• Published in: 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS) pp. 1 - 6
• Main Authors: Zhang, Jianyang, Yi, Mancheng, Luo, Feng, Wei, Yanxia, Chen, Tao, Wang, Wenrui
• Format: Conference Proceeding
• Language: English
• Published: IEEE 28.06.2024
• Subjects: Accounting Positioning Theory; Accuracy; Applications; Image recognition; Inspection; Key performance indicator; Prediction algorithms; Robotics research; Software; Software algorithms; software Verification Tools; The Age of Intelligence
• DOI: 10.1109/ICITEICS61368.2024.10625476

In view of the limitations of traditional image recognition algorithms in the research and application of inspection intelligent robots, a research and application scheme of intelligent robots based on software verification tools is proposed. Firstly, the influencing factors is accurately located through the accounting and positioning theory, and the indicators is reasonably divided to reduce interference, and the research and application scheme of intelligent robots is constructed by using software verification tools. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional image recognition algorithm in terms of research and application accuracy of intelligent robots, and processing time of influencing factors, which has obvious advantages. The research and application of intelligent robots plays an extremely important role in the intelligent era, which can accurately predict and optimize the growth characteristics and product generation in the intelligent era. However, traditional image recognition algorithms have certain limitations in solving the research and simulation problems of robots, especially when dealing with complex problems. In this paper, this paper proposes a research and application scheme of intelligent robot based on software verification tools to better solve this problem. The scheme accurately locates the influencing factors through the accounting positioning theory, so as to determine the division of indicators, and uses software verification tools to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on software verification tools can better solve the limitations of traditional image recognition algorithms and improve the simulation accuracy and efficiency in the research and application of inspection intelligent robots.