Published December 3, 2024
| Version v1
Journal article
Open
H-R DATA VISUALIZATION OF THE DISTANCE TO THE OBJECT IN THE COLLABORATIVE ROBOT WORKSPACE BASED ON HC-SR04 SENSOR
Creators
- 1. Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
- 2. Senior Developer Electronic Health Solution, Amman, Jordan
Description
The article considers the use of HC-SR04 sensors for measuring the distance to an object in a collaborative robot workspace. Special attention is paid to the visualization of the received data, which allows for effective analysis of information about the robot's environment. The experimental results show that the HC-SR04 can provide satisfactory measurement accuracy, which is important for the safety and optimization of robotic systems. The use of data visualization helps to improve interaction with the environment and increases the tasks efficiency.
Files
388_401_Vladyslav_Yevsieiev_Svitlana_Maksymova_Dmytro_Gurin_Ahmad.pdf
Files
(352.6 kB)
Name | Size | Download all |
---|---|---|
md5:ed096456268fde29d4d7a6b9f7d20f75
|
352.6 kB | Preview Download |
Additional details
References
- 1. Maksymova, S., & et al. (2024). Comparative Analysis of methods for Predicting the Trajectory of Object Movement in a Collaborative Robot-Manipulator Working Area. Multidisciplinary Journal of Science and Technology, 4(10), 38-48.
- 2. Yevsieiev, V., & et al. (2024). Human Operator Identification in a Collaborative Robot Workspace within the Industry 5.0 Concept. Multidisciplinary Journal of Science and Technology, 4(9), 95-105.
- 3. Gurin, D., & et al. (2024). Effect of Frame Processing Frequency on Object Identification Using MobileNetV2 Neural Network for a Mobile Robot. Multidisciplinary Journal of Science and Technology, 4(8), 36-44.
- 4. Chala, O., & et al. (2024). Switching Module Basic Concept. Multidisciplinary Journal of Science and Technology, 4(7), 87-94.
- 5. Baker, J. H., Laariedh, F., Ahmad, M. A., Lyashenko, V., Sotnik, S., & Mustafa, S. K. (2021). Some interesting features of semantic model in Robotic Science. SSRG International Journal of Engineering Trends and Technology, 69(7), 38-44.