Vol. 2 No. 1 (2024), Articles
Vol. 2 No. 1 (2024)

Gripping Device Development: Some Aspects

Articles
Published 2024-01-11
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
PDF
ZENODO

Keywords

Robot, Gripping device, Gripper, Kinematic diagram, 3D modeling.

How to Cite

Gripping Device Development: Some Aspects. (2024). Journal of Universal Science Research, 2(1), 150-158. https://universalpublishings.com/index.php/jusr/article/view/3825
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Abstract

Grippers give robots flexibility and functionality, allowing them to effectively perform a variety of tasks depending on the application context. Among other things, they allow robots to solve the following tasks: capturing objects; moving objects; assembly and installation; work in hazardous environments; maintenance and repair; medical surgery; research in science and engineering, etc. In this article, the authors propose the gripper kinematic diagram development, calculation of the compression force, as well as modeling of the gripping device.

PDF
ZENODO

References

Sotnik, S., & et al.. (2022). Analysis of Existing Infliences in Formation of Mobile Robots Trajectory. International Journal of Academic Information Systems Research, 6(1), 13-20.

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.

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.

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.

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

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

Lyashenko, V., & et al.. (2021). Modern Walking Robots: A Brief Overview. International Journal of Recent Technology and Applied Science, 3(2), 32-39.

Sotnik, S., & et al.. (2022). Overview of Innovative Walking Robots. International Journal of Academic Engineering Research, 6(4), 3-7.

Sotnik, S., & et al.. (2022). Agricultural Robotic Platforms. International Journal of Academic Engineering Research, 6(4), 14-21.

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.

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.

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.

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.

Attar, H., Abu-Jassar, A. T., Amer, A., Lyashenko, V., Yevsieiev, V., & Khosravi, M. R. (2022). Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging. Computational intelligence and neuroscience, 2022, 9140156.

Yevsieiev, V., & et al. (2023). An Automatic Assembly SMT Production Line Operation Technological Process Simulation Model Development. International Science Journal of Engineering & Agriculture, 2(2), 1-9.

Nevliudov, I., & et al. (2018). Using MEMS to adapt ultrasonic welding processes control in the implementation of modular robots assembly processes. In 2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), IEEE, 223-226.

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

Nevliudov, I., & et al. (2023). A Small-Sized Robot Prototype Development Using 3D Printing. In XXXI International Conference CAD In Machinery Design Implementation and Educational Issues, 12.

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

Nevliudov, I., & et al. (2023). Features of Wave Algorithm Application in Warehouse Logistics Transport Systems. Information systems in project and program managemen: Collective monograph edited by I. Linde, European University Press. Riga: ISMA, 251-261.

Maksymova, S., & et al. (2023). Shuttle-Based Storage And Retrieval System 3d Model Improvement and Development. Journal of Natural Sciences and Technologies, 2(2), 232-237.

Savkiv, V., & et al. (2021). Gripping devices of industrial robots for manipulating offset dish antenna billets and controlling their shape. Transport, 36(1), 63-74.

Takács, K., & et al. ( (2020). Robotic grippers for large and soft object manipulation. In 2020 IEEE 20th international Symposium on computational Intelligence and informatics (CINTI), IEEE, 133-138.

Hao, Y., & et al. (2020). A soft gripper with programmable effective length, tactile and curvature sensory feedback. Smart Materials and Structures, 29(3), 035006.

Pi, J., & et al. (2021). An octopus-inspired bionic flexible gripper for apple grasping. Agriculture, 11(10), 1014.

Wang, Z., & et al. (2020). A dual-mode soft gripper for food packaging. Robotics and Autonomous Systems, 125, 103427.

Wang, Z., & et al. (2021). Circular shell gripper for handling food products. Soft robotics, 8(5), 542-554.

Fang, B., & et al. (2022). Multimode grasping soft gripper achieved by layer jamming structure and tendon-driven mechanism. Soft Robotics, 9(2), 233-249.

Gafer, A., & et al. (2020). The quad-spatula gripper: A novel soft-rigid gripper for food handling. In 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), IEEE, 39-45.

Thongking, W., & et al. (2021). Soft robotic gripper based on multi-layers of dielectric elastomer actuators. Journal of Robotics and Mechatronics, 2021, 33.4: 968-974.

Linghu, C., & et al. (2020). Universal SMP gripper with massive and selective capabilities for multiscaled, arbitrarily shaped objects. Science Advances, 6(7), eaay5120.

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

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.