Repository Interface
In the main interface, click Repository to enter the repository interface. In this interface, you can open the template matching library, deep learning template library, robot model library, and extension plugin library.
Template Matching Library Interface
The template matching library is used to manage and configure matching templates.
Template Management Interface
In the repository interface, click Template Matching Library to enter the template management interface.
In this interface, you can view matching templates (hereinafter referred to as templates) and perform the following operations:
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Import templates (1): Import one or more template files (.epicmodel format files) from the local file system.
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Create new template (2): Create a new template.
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Search templates (3): Enter keywords to search for templates.
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Sort templates (4): Reorder templates based on selected criteria.
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Batch operations (5): Enter batch operation mode to export or delete selected solutions.
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Manage templates (6): Left-click a template card to open the template editing tool. Right-click a template to display a context menu where you can rename, export, or delete the template.
Template Editing Tool Interface
In the template management interface, click a template card to open the template editing tool.
No. |
Area Name |
Description |
|---|---|---|
1 |
File Management |
Point cloud files, pick point files, collision detection model files. |
2 |
Toolbar |
Crop point cloud, point cloud downsampling, extract point cloud edges, generate normals, align point cloud center, set model origin and align to space origin, model coordinate system transformation, add pick points, teach pick points, mirror pick points, view settings. |
3 |
Editing Area |
Edit and move point cloud, set pick points, move collision detection model, adjust viewing angle. |
4 |
Bottom Information Bar |
Point cloud center coordinates, point count, size, unit |
For detailed usage tutorials, please refer to Template Matching Library.
Deep Learning Model Library Interface
The deep learning model library is used to manage deep learning models.
In the repository interface, click Deep Learning Model Library to open the deep learning model library interface. In this interface, you can import and manage deep learning models.
For detailed usage tutorials, please refer to Deep Learning Model Library.
Robot Model Library Interface
The robot model library is used to download robot models.
In the repository interface, click Robot Model Library to open the robot model library interface. In this interface, you can download robot models and import robot models.
No. |
Area Name |
Description |
|---|---|---|
1 |
Update Model Library |
Get the latest robot model list from the server. |
2 |
Import Robot Model |
Import local robot model files (.epicbot format). |
3 |
Axis Count |
Filter robots by axis count (All/4-axis/6-axis). |
4 |
Download Display |
Toggle display between all/downloaded robots. |
5 |
Search |
Search robots by model or brand. |
6 |
Robot List |
Display robot models categorized by brand. |
7 |
Robot Card |
Display basic robot information. |
For detailed usage tutorials, please refer to Robot Model Library.
Extension Plugin Library Interface
The extension plugin library is used to manage extension plugins, including rename, delete, copy, and download operations. Extension plugins can enhance software functionality by providing additional tools and service support.
In the repository interface, click Extension Plugin Library to open the extension plugin library interface.
Through the extension plugin library, you can install different types of plugins according to actual needs, such as custom algorithms, special tools, or third-party system integration plugins, thereby expanding the software’s functional scope and application scenarios.
For detailed usage tutorials, please refer to Extension Plugin Library.