Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings |
| Editors | Diana Z. Briceno Rodriguez |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331504724 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Barranquilla, Colombia Duration: 21 Aug 2024 → 24 Aug 2024 |
Publication series
| Name | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 - Proceedings |
|---|
Conference
| Conference | 2024 IEEE Colombian Conference on Communications and Computing, COLCOM 2024 |
|---|---|
| Country/Territory | Colombia |
| City | Barranquilla |
| Period | 21/08/24 → 24/08/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Artificial Vision
- KRC2 Controller
- KUKA KR5-2 HW Robot
- Python Programming Open-Source Libraries
- Robotic Arms
CACES Knowledge Areas
- 8417A Telecommunications
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