Published December 10, 2024
| Version v1
Conference paper
Open
THE TRIANGULATION METHOD USING FOR THE DISTANCE TO THE OBJECT MEASUREMENT IN A COLLABORATIVE ROBOT WORKSPACE
Creators
- 1. 1Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
- 2. 2Senior Developer Electronic Health Solution, Amman, Jordan
Description
The article examines the triangulation method for accurately
measuring the distance to objects in a Collaborative Robot Workspace. The
effectiveness of using HC-SR04 ultrasonic sensors is analyzed, one of which has a
blocked TRIG pin, which allows you to focus on receiving reflected signals to calculate
the distance. The results of the experiments demonstrate the high accuracy of the
measurements, as well as the speed of the system's response to changes in the position
of the object. The importance of this approach for improving robotic systems within
the concept of Industry 5.0 is highlighted
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Additional details
References
- 1. Gurin, D., & et al. (2024). Using the Kalman Filter to Represent Probabilistic Models for Determining the Location of a Person in Collaborative Robot Working Area. Multidisciplinary Journal of Science and Technology, 4(8), 66- 75
- 1. Gurin, D., & et al. (2024). Using the Kalman Filter to Represent Probabilistic Models for Determining the Location of a Person in Collaborative Robot Working Area. Multidisciplinary Journal of Science and Technology, 4(8), 66- 75
- 12.Ahmad, M. A., Baker, J. H., Tvoroshenko, I., & Lyashenko, V. (2019). Modeling the structure of intellectual means of decision-making using a system-oriented NFO approach. International Journal of Emerging Trends in Engineering Research, 7(11), 460-465.
- 26.Orobinskyi, P., Deineko, Z., & Lyashenko, V. (2020). Comparative Characteristics of Filtration Methods in the Processing of Medical Images. American Journal of Engineering Research, 9(4), 20-25