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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Actualizado 13 feb 2024

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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Citar como

MathWorks Student Competitions Team (2025). Perception Template for Manufacturing Objects (https://github.com/mathworks-robotics/perception-for-manufacturing-objects), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2023b
Compatible con cualquier versión desde R2023b
Compatibilidad con las plataformas
Windows macOS Linux

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Versión Publicado Notas de la versión
23.2.1

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Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.