Resumen
This document presents the application of artificial vision as an intelligent tool for robotic arms to identify the location of various objects based on user-defined conditions such as area, color, and shape. The system was developed using the Python programming language and open-source libraries. The artificial vision system was integrated with a KUKA KR5-2 HW robot with KRC2 controller, though it can be applied to any robotic arm with digital inputs. The tool can recognize and classify objects in real time within a workspace according to the programmer's specified conditions.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings |
| Editores | Diana Z. Briceno Rodriguez |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (versión digital) | 9798331504724 |
| DOI | |
| Estado | Publicada - 2024 |
| Evento | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Barranquilla, Colombia Duración: 21 ago. 2024 → 24 ago. 2024 |
Serie de la publicación
| Nombre | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings |
|---|
Conferencia
| Conferencia | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 |
|---|---|
| País/Territorio | Colombia |
| Ciudad | Barranquilla |
| Período | 21/08/24 → 24/08/24 |
Nota bibliográfica
Publisher Copyright:© 2024 IEEE.
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Huella
Profundice en los temas de investigación de 'Development of a Low-cost Interface based on Artificial Vision for Conditioning an Industrial Robot with Parallel Communication'. En conjunto forman una huella única.Citar esto
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