Paper
27 January 2023 Robot grasping detection technology based on 3D structured light
Author Affiliations +
Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 1255002 (2023) https://doi.org/10.1117/12.2666573
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China
Abstract
With the development of robot technology, automatic assembly technology based on industrial robots has been greatly applied. Considering the high-precision automatic grasping of heterogeneous products, robot grasping detection technology is put forward. Although the current method of using camera is relatively mature, it is greatly affected by the ambient light and the surface material of the object, resulting in the limited versatility. Since the 3D structured light method based on the laser scanning galvanometer has the characteristics of high speed and high accuracy, strong environmental adaptability and weak influence by the surface material of the object, the structured light equipment using laser scanning galvanometer was installed at the end of the robot to realize the grasping detection of the products. Through hand eye calibration, point cloud acquisition, point cloud processing, point cloud matching and other links, the point cloud collection and accurate matching of local features are realized. The experiment shows that the grasping detection accuracy is less than 0.32mm. It can not only achieve accurate grasping of different products, but also has the characteristics of strong adaptability to surface materials, environmental lighting, and high accuracy.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changzhi Yu, Lianxin Zhang, Dongsheng Chen, and Niannian Chen "Robot grasping detection technology based on 3D structured light", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 1255002 (27 January 2023); https://doi.org/10.1117/12.2666573
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KEYWORDS
Point clouds

Structured light

Galvanometers

Laser scanners

3D vision

Intelligent robotic vision

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