H-R DATA VISUALIZATION OF THE DISTANCE TO THE OBJECT IN THE COLLABORATIVE ROBOT WORKSPACE BASED ON HC-SR04 SENSOR

Authors

  • Vladyslav Yevsieiev Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
  • Svitlana Maksymova Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
  • Dmytro Gurin Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
  • Ahmad Alkhalaileh Senior Developer Electronic Health Solution, Amman, Jordan

Keywords:

HC-SR04, Collaborative Robot, Data Visualization, Distance Measurement, Robotics, Interaction Environment, Industry 5.0

Abstract

 

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.

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.

6. Abu-Jassar, A. T., Al-Sharo, Y. M., Lyashenko, V., & Sotnik, S. (2021). Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems. TEM Journal: Technology, Education, Management, Informatics, 10(4), 1645-1654.

7. Sotnik, S., Mustafa, S. K., Ahmad, M. A., Lyashenko, V., & Zeleniy, O. (2020). Some features of route planning as the basis in a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(5), 2074-2079.

8. Nevliudov, I., & et al.. (2020). Method of Algorithms for CyberPhysical Production Systems Functioning Synthesis. International Journal of Emerging Trends in Engineering Research, 8(10), 7465-7473.

9. Mustafa, S. K., Yevsieiev, V., Nevliudov, I., & Lyashenko, V. (2022). HMI Development Automation with GUI Elements for Object-Oriented Programming Languages Implementation. SSRG International Journal of Engineering Trends and Technology, 70(1), 139-145.

10. Nevliudov, I., Yevsieiev, V., Lyashenko, V., & Ahmad, M. A. (2021). GUI Elements and Windows Form Formalization Parameters and Events Method to Automate the Process of Additive Cyber-Design CPPS Development. Advances in Dynamical Systems and Applications, 16(2), 441-455.

11. Maksymova, S., Matarneh, R., Lyashenko, V. V., & Belova, N. V. (2017). Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models. Journal of Computer and Communications, 5, 1-15.

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.

13. Lyashenko, V., Abu-Jassar, A. T., Yevsieiev, V., & Maksymova, S. (2023). Automated Monitoring and Visualization System in Production. International Research Journal of Multidisciplinary Technovation, 5(6), 9-18.

14. Abu-Jassar, A. T., Attar, H., Lyashenko, V., Amer, A., Sotnik, S., & Solyman, A. (2023). Access control to robotic systems based on biometric: the generalized model and its practical implementation. International Journal of Intelligent Engineering and Systems, 16(5), 313-328.

15. Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2023). Generalized Procedure for Determining the Collision-Free Trajectory for a Robotic Arm. Tikrit Journal of Engineering Sciences, 30(2), 142-151.

16. Ahmad, M. A., Sinelnikova, T., Lyashenko, V., & Mustafa, S. K. (2020). Features of the construction and control of the navigation system of a mobile robot. International Journal of Emerging Trends in Engineering Research, 8(4), 1445-1449.

17. Maksymova, S., & et al. (2024). Balancing System For A Zoomorphic Spot Type Mobile Robot Development Using An Accelerometer MPU 6050 (GY-521). In 2024 IEEE 19th International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), IEEE, 39-42.

18. Samoilenko, H., & et al. (2024). Review for Collective Problem-Solving by a Group of Robots. Journal of Universal Science Research, 2(6), 7-16.

19. Gurin, D., & et al. (2024). MobileNetv2 Neural Network Model for Human Recognition and Identification in the Working Area of a Collaborative Robot. Multidisciplinary Journal of Science and Technology, 4(8), 5-12.

20. Basiuk, V., & et al. (2024). COMMAND SYSTEM FOR MOVEMENT CONTROL DEVELOPMENT. Multidisciplinary Journal of Science and Technology, 4(6), 248-255.

21. Chala, O., & et al. (2024). Analysis of Systems for Coordination of Enterprise Subsystems Control. Journal of Universal Science Research, 2(10),127-137.

22. 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.

23. Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.

24. Mustafa, S. K., Ayaz, A. M., Baranova, V., Deineko, Z., Lyashenko, V., & Oyouni, A. A. A. (2020). Using wavelet analysis to assess the impact of COVID-19 on changes in the price of basic energy resources. International Journal of Emerging Trends in Engineering Research, 8(7), 2907-2912.

25. Lyashenko, V. V., Lyubchenko, V. A., Ahmad, M. A., Khan, A., & Kobylin, O. A. (2016). The Methodology of Image Processing in the Study of the Properties of Fiber as a Reinforcing Agent in Polymer Compositions. International Journal of Advanced Research in Computer Science, 7(1), 15-18.

26. Lyubchenko, V., & et al.. (2016). Digital image processing techniques for detection and diagnosis of fish diseases. International Journal of Advanced Research in Computer Science and Software Engineering, 6(7), 79-83.

27. Lyashenko, V. V., Matarneh, R., Kobylin, O., & Putyatin, Y. P. (2016). Contour Detection and Allocation for Cytological Images Using Wavelet Analysis Methodology. International Journal, 4(1), 85-94.

28. Kuzemin, O., & Lyashenko, V. Microsituation Concept in GMES Decision Support Systems/A. Kuzemin, V. Lуashenko. Intelligent Data Processing in Global Monitoring for Environment and Security (pр. 217–238).–2011.–Р, 217-238.

29. Lyashenko, V., Laariedh, F., Ayaz, A. M., & Sotnik, S. (2021). Recognition of Voice Commands Based on Neural Network. TEM Journal: Technology, Education, Management, Informatics, 10(2), 583-591.

30. 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.

31. Sotnik S., & et al.. (2022). Key Directions for Development of Modern Expert Systems. International Journal of Engineering and Information Systems (IJEAIS), 6(5), 4-10.

32. Sotnik S., & Lyashenko V. (2022). Prospects for Introduction of Robotics in Service. International Journal of Academic Engineering Research (IJAER), 6(5), 4-9.

33. Lyashenko, V., & Sotnik, S. (2022). Overview of Innovative Walking Robots. International Journal of Academic Engineering Research (IJAER), 6(4), 3-7.

34. Baranova, V., Orlenko, O., Vitiuk, A., Yakimenko-Tereschenko, N., & Lyashenko, V. (2020). Information system for decision support in the field of tourism based on the use of spatio-temporal data analysis. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6356-6361.

35. Sotnik, S., & et al.. (2022). Modern Industrial Robotics Industry. International Journal of Academic Engineering Research, 6(1),. 37-46.

36. Lyashenko, V., Kobylin, O., & Baranchykov, Y. (2018, October). Ideology of Image Processing in Infocommunication Systems. In 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T) (pp. 47-50). IEEE.

37. Lyashenko, V., & Sotnik, S. (2020). Analysis of Basic Principles for Sensor System Design Process Mobile Robots. Journal La Multiapp, 1(4), 1-6.

38. Lyashenko V, Matarneh R, Sotnik S. Modeling of Machine Design with Numerical Control in UG NX 7.5 System. The International Journal of Engineering and Science (IJES), 2018, 7(7), pp. 28-37.

39. Matarneh, R., Sotnik, S., & Lyashenko, V. (2018). Search of the molding form connector plane on the approximation basis by the many-sided surface with use of the convex sets theory. International Journal of Mechanical and Production Engineering Research and Development, 8(1), 977-988.

40. Babker, A. M., Suliman, R. S., Elshaikh, R. H., Boboyorov, S., & Lyashenko, V. (2024). Sequence of Simple Digital Technologies for Detection of Platelets in Medical Images. Biomedical and Pharmacology Journal, 17(1), 141-152.

41. Leichtmann, B., & Nitsch, V. (2020). How much distance do humans keep toward robots? Literature review, meta-analysis, and theoretical considerations on personal space in human-robot interaction. Journal of environmental Psychology, 68, 101386.

42. Rosenberger, P., & et al. (2020). Object-independent human-to-robot handovers using real time robotic vision. IEEE Robotics and Automation Letters, 6(1), 17-23.

43. Tian, S., & et al. (2020). Model-based visual planning with self-supervised functional distances. arXiv preprint arXiv:2012.15373.

44. Navarro, S. E., & et al. (2021). Proximity perception in human-centered robotics: A survey on sensing systems and applications. IEEE Transactions on Robotics, 38(3), 1599-1620.

45. Ortiz, J., & et al. (2022). isdf: Real-time neural signed distance fields for robot perception. arXiv preprint arXiv:2204.02296.

Downloads

Published

2024-11-30

How to Cite

H-R DATA VISUALIZATION OF THE DISTANCE TO THE OBJECT IN THE COLLABORATIVE ROBOT WORKSPACE BASED ON HC-SR04 SENSOR. (2024). ACUMEN: INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH, 1(4), 388-401. https://universalpublishings.com/index.php/aijmr/article/view/8437