PROSTHETIC HAND 3D MODEL DEVELOPMENT

Svitlana Maksymova

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

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

Mohammad Al-Abdallat

Jordanian Ministry of Education, Amman, Jordan

Keywords: Medicine robot, Gripper device, Assembly, UniGraphics, Simulation, Modeling.


Abstract

The development of prosthetics is an extremely pressing task in our time. Such devices are designed to improve a person's quality of life and give him opportunities that he lost either as a result of injury or illness, or at birth. However, direct physical development is preceded by three-dimensional modeling of such devices, as a result of which it becomes possible to identify and correct errors, as well as optimize the device itself. In this article, the authors provide modeling of a human hand, its assembly, as well as calculation of grip force and analysis of the choice of material in the UniGraphics NX 7.5 environment


References

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, 5866922.

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.

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.

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.

Al-Sharo, Y. M., Abu-Jassar, A. T., Sotnik, S., & Lyashenko, V. Neural Networks As A Tool For Pattern Recognition of Fasteners. studies, 69(19), 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.

Attar, H., Abu-Jassar, A. T., Lyashenko, V., Al-qerem, A., Sotnik, S., Alharbi, N., & Solyman, A. A. (2023). Proposed synchronous electric motor simulation with built-in permanent magnets for robotic systems. SN Applied Sciences, 5(6), 160.

Lyashenko, V., & et al. (2023). Automated Monitoring and Visualization System in Production. Int. Res. J. Multidiscip. Technovation, 5(6), 09-18.

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.

Javaid, M., & et al. (2021). Substantial capabilities of robotics in enhancing industry 4.0 implementation. Cognitive Robotics, 1, 58-75.

Yevsieiev, V., & et al. (2023). A Small-Scale Manipulation Robot a Laboratory Layout Development. International independent scientific journal, 47, 18-28.

Rubio, F., & et al. (2019). A review of mobile robots: Concepts, methods, theoretical framework, and applications. International Journal of Advanced Robotic Systems, 16(2), 1729881419839596.

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

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.

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.

Babker, A., Sotnik, S., & Lyashenko, V. (2018). Polymeric Materials in Medicine. Sch. J. Appl. Med Sci, 6, 148-153.

Dupont, P. E., & et al. (2021). A decade retrospective of medical robotics research from 2010 to 2020. Science robotics, 6(60), eabi8017.

Wang, X. V., & Wang, L. (2021). A literature survey of the robotic technologies during the COVID-19 pandemic. Journal of Manufacturing Systems, 60, 823-836.

Matarneh, R., & et al. (2018). Voice Control for Flexible Medicine Robot. International Journal of Computer Trends and Technology, 55(1), 1-5.

Yevsieiev, V., & et al. (2022). A robotic prosthetic a control system and a structural diagram development.In Collection of scientific papers «ΛΌГOΣ», Zurich, Switzerland, 113-114.

Attar, H., Abu-Jassar, A. T., Yevsieiev, V., Nevliudov, I., Lyashenko, V., & Luhach, A. K. (2022). Zoomorphic Mobile Robot Development for Vertical Movement Based on the Geometrical Family Caterpillar. Computational Intelligence and Neuroscience, 2022, 3046116.

Babker, A. M., Altoum, A. E. A., Tvoroshenko, I., & Lyashenko, V. (2019). Information technologies of the processing of the spaces of the states of a complex biophysical object in the intellectual medical system health. International Journal of Advanced Trends in Computer Science and Engineering, 8(6), 3221-3227.

Mendez, V., & et al. (2021). Current solutions and future trends for robotic prosthetic hands. Annual Review of Control, Robotics, and Autonomous Systems, 4, 595-627.

Valle, G., & et al. (2021). Mechanisms of neuro-robotic prosthesis operation in leg amputees. Science Advances, 7(17), eabd8354.

Fleming, A., & et al. (2021). Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions. Journal of neural engineering, 18(4), 041004.

Mohammadi, A., & et al. (2020). A practical 3D-printed soft robotic prosthetic hand with multi-articulating capabilities. PloS one, 15(5), e0232766.

Huamanchahua, D., & et al. (2021). A robotic prosthesis as a functional upper-limb aid: An innovative review. In 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), IEEE, 1-8.

Sun, Y., & et al. (2021). Review of recent progress in robotic knee prosthesis related techniques: Structure, actuation and control. Journal of Bionic Engineering, 18(4), 764-785.

Wu, R., & et al. (2022). Reinforcement learning impedance control of a robotic prosthesis to coordinate with human intact knee motion. IEEE Robotics and Automation Letters, 7(3), 7014-7020.

Tran, M., & et al. (2022). A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint. Science robotics, 7(72), eabo3996.

Maksymova, S., & et al. (2023). 3D Robot Model Development. Technical Science Research In Uzbekistan,1(4), 255-267.

Shim, W., & et al. (2022). Implementation of the XR rehabilitation simulation system for the utilization of rehabilitation with robotic prosthetic leg. Applied Sciences, 12(24), 12659.

Sree, K. S., & et al. (2021). EMG controlled bionic robotic arm using artificial intelligence and machine learning. In 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), IEEE, 548-554.