EconPapers    
Economics at your fingertips  
 

Robot vision system based on information visualization algorithm

Hui Xu ()
Additional contact information
Hui Xu: Anhui Jianzhu University

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 24, 738-747

Abstract: 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.

Keywords: Information vision; Robot; Vision system; Image recognition (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01515-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01515-y

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-021-01515-y

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01515-y