Perception Template for Manufacturing Objects

This repository contains code to get started with perception for manufacturing objects using the NIST MOAD dataset
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更新时间 2024/2/13

Perception Template for Manufacturing Objects

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This repository contains code to get started with perception for the ICRA Robot Grasping and Manipulation Challenge (RGMC), specifically the manufacturing track. The dataset used is the NIST dataset and the software used is MATLAB®️ 2023b.

image labeler app

Getting started

To get started, clone this repository and download the 'nist_atb1_boardfull' dataset from the dataset. Further instructions on how to resolve the path in the image labeller app can be found in the live script.

The code requires the following:

For questions or clarifications on the code, please contact roboticsarena@mathworks.com

License

The license is available in the license.txt file in this GitHub repository.

Community Support

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Copyright 2024 The MathWorks, Inc.

引用格式

MathWorks Student Competitions Team (2024). Perception Template for Manufacturing Objects (https://github.com/mathworks-robotics/perception-for-manufacturing-objects), GitHub. 检索来源 .

MATLAB 版本兼容性
创建方式 R2023b
与 R2023b 及更高版本兼容
平台兼容性
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版本 已发布 发行说明
23.2.1

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要查看或报告此来自 GitHub 的附加功能中的问题,请访问其 GitHub 仓库