Humanoid Robot Movement Simulation in ROS

Vladyslav Yevsieiev

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

Amer Abu-Jassar

Faculty of Information Technology, Department of Computer Science, Ajloun National University, Ajloun, Jordan

Svitlana Maksymova

Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine

##semicolon## Industry 5.0##common.commaListSeparator## Collaborative Robots##common.commaListSeparator## Humanoid Robot##common.commaListSeparator## ROS, RViz


सार

This article examines the task of humanoid robot movement forward and backward simulating in ROS RViz core. The main research lies in the creation and testing of programs to ensure a stable and smooth movement of the robot along a given trajectory. Based on the capabilities of ROS, a system of hand-washing was implemented as a way of balance and stabilization. The results of the simulation demonstrate the effectiveness of the fragmented program and its production exactly follow the markers installed in the virtual middle. The study reinforces the importance of ROS for the modeling and testing of collaborative robots in the context of Industry 5.0, where interactions between people and robots are of key importance


##submission.citations##

Nevliudov, I., Yevsieiev, V., Baker, J. H., Ahmad, M. A., & Lyashenko, V. (2020). Development of a cyber design modeling declarative Language for cyber physical production systems. J. Math. Comput. Sci., 11(1), 520-542.

Matarneh, R., Maksymova, S., Deineko, Z., & Lyashenko, V. (2017). Building robot voice control training methodology using artificial neural net. International Journal of Civil Engineering and Technology, 8(10), 523-532.

Abu-Jassar, A. T., Attar, H., Yevsieiev, V., Amer, A., Demska, N., Luhach, A. K., & Lyashenko, V. (2022). Electronic user authentication key for access to HMI/SCADA via unsecured internet networks. Computational intelligence and neuroscience, 2022(1), 5866922.

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

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.

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.

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.

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.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. (2021). Neural networks as a tool for pattern recognition of fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

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.

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.

Sotnik, S., & Lyashenko, V. (2022). Prospects for Introduction of Robotics in Service. Prospects, 6(5), 4-9.

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.

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.

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

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.

Al-Sharo Y., & et al. (2023). A Robo-hand prototype design gripping device within the framework of sustainable development. Indian Journal of Engineering, 2023, 20, e37ije1673.

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.

Tahseen A. J. A., & et al.. (2023). Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars. International Journal of Academic Engineering Research (IJAER), 7(2), 1-9.

Maksymova, S., & et al. (2024). The Bipedal Robot a Kinematic Diagram Development. Journal of Universal Science Research, 2(1), 6-17.

Borysov, H., & et al. (2023). Parameters for Mobile Robot Kinematic Model Development Determination. Multidisciplinary Journal of Science and Technology, 3(4), 85-91.

Nevliudov, I., & et al. (2022). Object Recognition for a Humanoid Robot Based on a Microcontroller. In 2022 IEEE XVIII International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH), IEEE, 61-64.

Kobylin, O., & Lyashenko, V. (2014). Comparison of standard image edge detection techniques and of method based on wavelet transform. International Journal, 2(8), 572-580.

Rabotiahov, A., Kobylin, O., Dudar, Z., & Lyashenko, V. (2018, February). Bionic image segmentation of cytology samples method. In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET) (pp. 665-670). IEEE.

Гиренко, А. В., Ляшенко, В. В., Машталир, В. П., & Путятин, Е. П. (1996). Методы корреляционного обнаружения объектов. Харьков: АО “БизнесИнформ, 112.

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.

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.

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.

Lyashenko, V., Matarneh, R., & Kobylin, O. (2016). Contrast modification as a tool to study the structure of blood components. Journal of Environmental Science, Computer Science and Engineering & Technology, 5(3), 150-160.

Sotnik, S., Matarneh, R., & Lyashenko, V. (2017). System model tooling for injection molding. International Journal of Mechanical Engineering and Technology, 8(9), 378-390.

Babker, A., & Lyashenko, V. (2018). Identification of megaloblastic anemia cells through the use of image processing techniques. Int J Clin Biomed Res, 4, 1-5.

Ahmad, M. A., Mustafa, S. K., Zeleniy, O., & Lyashenko, V. (2020). Wavelet coherence as a tool for markers selection in the diagnosis of kidney disease. International Journal of Emerging Trends in Engineering Research, 8(2), 378-383.

Lyashenko, V., Mustafa, S. K., Sotnik, S., & Ahmad, M. A. (2019). Basic principles of decision making upon receipt of new nanomaterial. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2680-2685.

Boboyorov Sardor Uchqun o‘g‘li, Lyubchenko Valentin, & Lyashenko Vyacheslav. (2023). Image Processing Techniques as a Tool for the Analysis of Liver Diseases. Journal of Universal Science Research, 1(8), 223–233.

Basiuk, V., & et al. (2024). Command System for Movement Control Development. Multidisciplinary Journal of Science and Technology, 4(6), 248-255.

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.

Nevliudov, I., & et al. (2023). Mobile Robot Navigation System Based on Ultrasonic Sensors. In 2023 IEEE XXVIII International Seminar/Workshop on Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), IEEE, 1, 247-251.

Abu-Jassar, A., & et al. (2023). Obstacle Avoidance Sensors: A Brief Overview. Multidisciplinary Journal of Science and Technology, 3(5), 4-10.

Yevsieiev, V., & et al. (2024). Route planning for a mobile robot in 3d space based on an algorithm probabilistic roadmap. Journal of Universal Science Research, 2(4), 22-33.

Bortnikova, V., & et al. (2019). Structural parameters influence on a soft robotic manipulator finger bend angle simulation. In 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM),IEEE, 35-38.

Shcherbyna, V., & et al. (2023). Mobile Robot for Fires Detection Development. Journal of Universal Science Research 1 (11), 17-27

Abedi, P., & et al. (2012). Modelling and Simulation of Human-like Movements for Humanoid Robots. In ICINCO, 1 342-346.

Choi, H., & et al. (2021). On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward. Proceedings of the National Academy of Sciences, 118(1), e1907856118.

Bänziger, T., & et al. (2020). Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions. Journal of Intelligent Manufacturing, 31(7), 1635-1648.

Chignoli, M., & et al. (2021). The MIT humanoid robot: Design, motion planning, and control for acrobatic behaviors. In 2020 IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids), IEEE, 1-8.

Brosque, C., & et al. (2020). Human-robot collaboration in construction: Opportunities and challenges. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), IEEE, 1-8.

Kashyap, A. K., & Parhi, D. R. (2021). Particle Swarm Optimization aided PID gait controller design for a humanoid robot. ISA transactions, 114, 306-330.

Liu, S., & et al. (2022). From motor control to team play in simulated humanoid football. Science Robotics, 7(69), eabo0235.

Kashyap, A. K., & et al. (2020). A hybrid technique for path planning of humanoid robot NAO in static and dynamic terrains. Applied Soft Computing, 96, 106581.