Abstract
The traditional robot vision system must keep the visual feature information in the process of visual servo stabilization, which greatly limits the environmental adaptability of mobile robots. In order to improve the effect of robot visual recognition, this paper combines information visualization algorithms to establish a set of sequential multi-free-surface spatial visual recognition methods, analyzes multiple visual recognition situations, and analyzes system performance in combination with optical algorithms. Moreover, this paper combines simulation experiment research to verify the system performance, constructs a robot vision system based on information visualization algorithm, and designs experiments to evaluate the robot vision system constructed in this paper. From the experimental research results, it can be seen that the new robot vision system constructed in this paper has a good visual recognition effect.
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Funding
The research is supported by: The Social Science Popularization Project of Anhui Province 2019. Project Name: Popular Reading on Garbage Classification Of Anhui Province (No.: LZ201933).
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Xu, H. Robot vision system based on information visualization algorithm. Int J Syst Assur Eng Manag 14, 738–747 (2023). https://doi.org/10.1007/s13198-021-01515-y
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DOI: https://doi.org/10.1007/s13198-021-01515-y