Using Mecanum Wheels for Radio Shuttle

Nevliudov Igor

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

Maksymova Svitlana

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

Yevsieiev Vladyslav

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

Klymenko Oleksandr

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

Keywords: Radio Shuttle, Omnidirectional wheel, Mecanum wheel, Cargo, Warehouse system, Warehouse 4.0


Abstract

Automation of production is inextricably linked with automation of warehouse systems. This is especially clear when applying the Industry 4.0 concept, since we see a clear development of the Warehouse 4.0 concept. This paper examines in detail the existing designs of the Radio Shuttle, as well as their areas of application. However, there are many limitations associated with the design features of these devices. We consider the main limitation to be low flexibility, as well as the inability to move in different directions. To solve this problem, the authors propose to use Mecanum wheels, which eliminate the problem of the impossibility of moving in the desired, that is, optimal, direction.


References

Tubis, Agnieszka A., & Juni Rohman. (2023). Intelligent Warehouse in Industry 4.0–Systematic Literature Review. Sensors, 23(8), 4105.

Ahmad, M. A., & et al.. (2019). Computational complexity of the accessory function setting mechanism in fuzzy intellectual systems. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2370-2377.

Albashir A. Youssef1 , Mohamed Atef El Khoreby1 , Hanady Hussein Issa1 , A. Abdellatif. (2022). Brief Survey on Industry 4.0 Warehouse Management Systems. International Review on Modelling and Simulations, 15(5).

Tutam, M. (2022). Warehousing 4.0 in Logistics 4.0. In: İyigün, İ., Görçün, Ö.F. (eds) Logistics 4.0 and Future of Supply Chains. Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application. Springer, Singapore.

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

Michal Zoubek, & Tomáš Broum. (2020). Methodology Proposal for Storage Rationalization by Implementing Principles of Industry 4.0. in a Technology-Driven Warehouse. Transactions of FAMENA, 44(4).

Igor Nevliudov, & et al. (2021). Evolutions of group management development of mobile robotic platforms in warehousing 4.0. Innovative Technologies and Scientific Solutions for Industries, 4 (18), 57–64.

Attar, H., & et al.. (2022). Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging. Computational Intelligence and Neuroscience, 2022.

Igor Nevliudov, & et al. (2022). Analysis of Software Products for Simulation Modeling of the Operation of the System of Shuttles for Warehousing. Manufacturing & Mechatronic Systems 2022: Proceedings of VIst International Conference, Kharkiv, October 20-21, 2022, P. 24-26

Abu-Jassar, A. T., & et al.. (2022). Electronic user authentication key for access to HMI/SCADA via unsecured internet networks. Computational Intelligence and Neuroscience, 2022.

Kansy Dawid, & et al. (2020) Optimization Model for Relocating Items in A Radio-Shuttle Compact Storage System, In: Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenges / International Business Information Management Association (IBIMA), 2883-2892

Nevliudov, I., & et al.. (2020). Development of a cyber design modeling declarative Language for cyber physical production systems. J. Math. Comput. Sci., 11(1), 520-542.

Igor Nevliudov, & et al. (2021). Evolutions of Group Management Development of Mobile Robotic Platforms In Warehousing 4.0. Innovative Technologies and Scientific Solutions for Industries, 4(18), 57-64.

Kansy Dawid (2020) Pick up plan in the case of a shuttle racks warehouse–an optimization approach. Informatyka Ekonomiczna. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 1(55).

Nikola Pavlov, & et al. (2023). A Novel Two-Stage Methodological Approach for Storage Technology Selection: An Engineering–FAHP–WASPAS Approach. Sustainability, 15(17), 13037.

Kansy, Dawid. (2020). Pick up Plan in the Case of a Shuttle Racks Warehouse – an Optimization Approach. Informatyka Ekonomiczna. Prace Naukowe Uniwersytetu Ekonomicznego. We Wrocławiu, 38–59.

Николай Драгомиров, (2020) Фундаментални области на знанието при организацията на складовите площи. Knowledge: International Journal, 41.1.

Rodoljub Vujanac, & et al. (2021). Basis for the design of drive-in and drive-through racking, 81-87.

ABD Mutalib, & et al. (2020) Prototype development of mecanum wheels mobile robot: A review. Applied Research and Smart Technology (ARSTech), 1.2, 71-82.

Cao, G., & et al. (2022) Fuzzy adaptive PID control method for multi-mecanum-wheeled mobile robot. J Mech Sci Technol 36, 2019-2029.

Zhe Sun, & et al. (2021), Path-following control of Mecanum-wheels omnidirectional mobile robots using nonsingular terminal sliding mode, Mechanical Systems and Signal Processing, 147.

Zhe Sun, & et al. (2021) Trajectory-tracking control of Mecanum-wheeled omnidirectional mobile robots using adaptive integral terminal sliding mode, Computers & Electrical Engineering, 96(A).

Hasana, Sameh F., & Alwan, Hassan M. (2021). Modeling and Control of Wheeled Mobile Robot With Four Mecanum Wheels. Eng. Technol. J., 39, 779-789.

Baker, J. H., & et al.. (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., & et al.. (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., & et al.. (2021). Neural Networks As A Tool For Pattern Recognition of Fasteners. International Journal of Engineering Trends and Technology, 69(10), 151-160.

Sotnik, S., & et al.. (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.