In this chapter, the application cases of robotic vision guidance in several typical scenarios are presented, including robotic target grasping based on binocular vision 3D measurement, robotic pose estimation based on large-scale binocular vision 3D reconstruction, and product packaging quality inspection based on machine vision and deep learning. By analyzing the functional requirements in different application scenarios, the robotic vision guidance solutions for target grasping or quality inspection tasks can be formulated. The implementation methods of image/point cloud processing, 3D information extraction, and network training in the robotic vision guidance process are introduced in detail, which can provide reference for extensive applications of robotic vision guidance in the related fields.

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Application Cases

  • Anhu Li,
  • Xingsheng Liu,
  • Zhaojun Deng

摘要

In this chapter, the application cases of robotic vision guidance in several typical scenarios are presented, including robotic target grasping based on binocular vision 3D measurement, robotic pose estimation based on large-scale binocular vision 3D reconstruction, and product packaging quality inspection based on machine vision and deep learning. By analyzing the functional requirements in different application scenarios, the robotic vision guidance solutions for target grasping or quality inspection tasks can be formulated. The implementation methods of image/point cloud processing, 3D information extraction, and network training in the robotic vision guidance process are introduced in detail, which can provide reference for extensive applications of robotic vision guidance in the related fields.