Research on the method of accurate recognition of target object pose by intelligent robot using CDPN in visual guidance

Haiye Qiao; Zhen Zhang; Xiansheng Xu

doi:10.1117/12.3021491

19 February 2024 Research on the method of accurate recognition of target object pose by intelligent robot using CDPN in visual guidance

Haiye Qiao, Zhen Zhang, Xiansheng Xu

Author Affiliations +

Proceedings Volume 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023); 130630R (2024) https://doi.org/10.1117/12.3021491
Event: Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 2023, Changchun, China

Abstract

The current vision-guided relevant target object pose recognition methods applied in intelligent robots have the problems of poor accuracy and simple application scenarios, so the study optimized its network on the basis of the de-entangled pose network of coordinates and experimentally verified it. The experimental results show that in the analysis of the network test results, the average value of the improved pose recognition estimation network is 92.05%, which is significantly higher than the 89.86% of the original de-entangled pose network of coordinates, and is significantly higher than the other comparison methods. In the analysis of the network output visualization results, the study uses the data with 5px as the threshold to visualize and display, at which time the accuracy of all objects exceeds 90%. And its overall success rate reaches 92% when it is practically applied in intelligent robots. Comprehensively, the improved target object attitude estimation network proposed by the study has the effectiveness and practicability, which can effectively improve the degree of grasping intelligence of intelligent robots.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haiye Qiao, Zhen Zhang, and Xiansheng Xu "Research on the method of accurate recognition of target object pose by intelligent robot using CDPN in visual guidance", Proc. SPIE 13063, Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023), 130630R (19 February 2024); https://doi.org/10.1117/12.3021491

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