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