Real-Time Services Robot with an Intelligent System Based on a Radio Frequency Identification Unit.
Technological developments have come a long way in developing service robots and employing them to serve human needs to the fullest extent. Communication between the robot and its user is the most important aspect, and developing a system to train robots and provide them with the necessary capabilities to accomplish specific tasks is important for creating a suitable service robot. This work provides solutions to most of the challenges in developing such systems using smart systems that can implement multiple and complex commands in a short and appropriate time, such as matching data outputs with what is examined by these systems. For this reason, (RFID) was used to compare data and give commands so that the robot can move in complex environments. Another challenge to consider is keeping the robot on the specified path without deviating from its specified path, so a special sensor was developed to track the robot’s deviation and correct the path. Another challenge to consider is if the robot might collide with an object on the path, this problem has been solved by a wireless sensor, all of which is processed and controlled by the microprocessor and motor control unit. Several practical tasks were implemented for the proposed model, and these tasks were in complex and different environments and under difficult conditions. The proposed service robot model was able to implement them with very high accuracy, so it can be relied upon as an advanced service robot model.
Authors
- Sameer Saadoon Algburi (ORCID: https://orcid.org/0000-0002-5483-6271)
- Aqeel Al‐Ani (ORCID: https://orcid.org/0000-0002-6376-5399)
- Tarik Al-ani (ORCID: https://orcid.org/0000-0003-0987-8082)
- Yousif Ismail Mohammed Al Mashhadany (ORCID: https://orcid.org/0000-0003-3943-8395)
- Mohanad A. Al‐Askari (ORCID: https://orcid.org/0000-0001-8501-9541)
Institutions
- University of Kirkuk (IQ)
- University of Anbar (IQ)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/dese63988.2024.10911977
- Citations
- 1
- Primary Topic
- Advanced Scientific Research Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.35