Perception Template for Manufacturing Objects

Versione 23.2.1 (51,3 MB) da MathWorks Student Competitions Team
This repository contains code to get started with perception for manufacturing objects using the NIST MOAD dataset
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Aggiornato 13 feb 2024
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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.

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

Compatibilità della release di MATLAB
Creato con R2023b
Compatibile con R2023b e release successive
Compatibilità della piattaforma
Windows macOS Linux

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Versione Pubblicato Note della release
23.2.1

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.