Topic: Create Point Cloud Models and Add Pick Points

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In vision project configuration, point cloud model matching is the common method of recognizing the target objects to be picked and output their pick points. The accuracy of the point cloud model ensures correct matching.

This topic guides you to create the point cloud model and set pick point(s) to ensure accurate recognition of target objects and output of pick points during matching.

Introduction to Point Cloud Models and Pick Points

This section introduces point cloud models and pick points.

What Is Point Cloud Model

Introduces the concept of point cloud model, and its role in the matching process.

What Is Pick Point

Introduces the concept of pick point, and its relation with the target object.

Strategy of Creating Point Cloud Models and Setting Pick Points

Introduces how to choose an appropriate method of creating the point cloud model and adding pick points according to the actual scenario.

Strategy of Creating Point Cloud Model

Introduces how to choose the method of creating a point cloud model according to the actual situation, and how to select the feature point cloud.

Strategy of Adding Pick Points

Introduces how to configure pick points for different target objects.

Extended Reading

Introduces experience of making point cloud models in actual projects and the classification and offset of robot grippers.

Reference for Creating Point Cloud Models in Typical Cases

Provides references to help you create point cloud models and add pick points for target objects in typical cases.

STL Model Repairing

Introduces how to repair the STL model with incorrect normals.

Gripper Classification and Offset

Introduces how to design a gripper based on the shapes and poses of target objects.

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