Published October 21, 2024
| Version v1
Journal article
Open
Capturing Human Movements in Real Time in Collaborative Robots Workspace within Industry 5.0
Authors/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 examines the application of technologies for capturing human movements in real time in collaborative robots workspace in the context of Industry 5.0. Mathematical apparatus and software for analyzing movements with high accuracy has been developed, which allows to increase the safety and efficiency of human-robot interaction. The conducted experiments showed the influence of lighting conditions and movements speed on the accuracy of movements capture and visualization, which is critically important for the optimal operation of collaborative robots in production environments.
Files
232-247 Vladyslav Yevsieiev.pdf
Additional details
References
- 1. Samoilenko, H., & et al. (2024). Review for Collective Problem-Solving by a Group of Robots. Journal of Universal Science Research, 2(6), 7-16.
- 2. Yevsieiev, V., & et al. (2024). Route constructing for a mobile robot based on the D-star algorithm. Technical Science Research in Uzbekistan, 2(4), 55-66.
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- 4. 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.
- 5. Yevsieiev, V., & et al. (2024). The Canny Algorithm Implementation for Obtaining the Object Contour in a Mobile Robot's Workspace in Real Time. Journal of Universal Science Research, 2(3), 7–19.