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Journal articles on the topic 'Automated Guided Vehicle System'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2024

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1

Slanina, Zdenek, Ivo Pergl, and Pavel Kedron. "Automated Guided Vehicle Control System for Automated Parking Purposes." IFAC-PapersOnLine 55, no. 4 (2022): 362–67. http://dx.doi.org/10.1016/j.ifacol.2022.06.060.

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2

Jaiganesh, V., J. Dhileep Kumar, and J. Girijadevi. "Automated Guided Vehicle with Robotic Logistics System." Procedia Engineering 97 (2014): 2011–21. http://dx.doi.org/10.1016/j.proeng.2014.12.444.

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3

Zajac, Jerzy, Grzegorz Chwajoł, Tomasz Wiek, Krzysztof Krupa, Waldemar Małopolski, and Adam Słota. "Automated Guided Vehicle System for Work-in-Process Movement." Solid State Phenomena 196 (February 2013): 181–88. http://dx.doi.org/10.4028/www.scientific.net/ssp.196.181.

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The paper presents an automated guided vehicle transportation subsystem used for work-in-process movement, built at the Production Engineering Institute of Cracow University of Technology. It describes design and operational parameters of built vehicles as well as the principles of integration of AGV control subsystem with the AIM multi-agent manufacturing control system. Furthermore, results of the verification of applied path-finding, anti-collision and anti-deadlock algorithms are included.

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Aized, Tauseef, Koji Takahashi, and Ichiro Hagiwara. "The Impact of Guide Path Configurations on Performance of an Integrated Automated Guided Vehicle System Using Coloured Petri Net." International Journal of Automation Technology 1, no. 1 (September 5, 2007): 52–60. http://dx.doi.org/10.20965/ijat.2007.p0052.

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The objective of this study is to analyse an integrated Automated Guided Vehicle System (AGVS) which is embedded in a pull type multi-product, multi-stage and multi-line flexible manufacturing system (FMS). The analysis is carried out through the development of different guide path configurations. Three guide-path configurations are developed to add flexibility gradually in the AGVS and the impact of added flexibility is studied by examining the performance of the system. The study uses coloured Petri net methodology to model the system and the simulation results lead to decrease the number of automated guided vehicles and hence the overall cost of the system.

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Adiga N, Achal, Avaneesh B. Ballal, Dileep P, Harishgowda M, Roopa T S, and Gangadhar Angadi. "Smart Automated Guided Vehicle for Flexible Manufacturing Systems." ECS Transactions 107, no. 1 (April 24, 2022): 13205–20. http://dx.doi.org/10.1149/10701.13205ecst.

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In the Flexible Manufacturing System, automation and the ability to restructure the manufacturing facility is important. The development of a discretely working Smart Automated Guided Vehicle is the need of the hour. Hence the objective is to develop a compact unit load Smart Automated Guided Vehicle to increase efficiency and productivity & to overcome the problems of conventional material handling systems and improve the efficacy of manufacturing. Smart Automated Guided Vehicle is provided with navigation, weight sensing, obstacle detection systems with other auxiliary systems instrumental in zonal setup for the Smart Automated Guided Vehicle as well as adaptable for frequent changes. This model of Smart Automated Guided Vehicle is helpful for a small operational manufacturing unit for multipurpose applications at very low cost and high customizability. The objective is to provide a safe environment to the Smart Automated Guided Vehicle & its surroundings also, to reduce human dependency.

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6

Hasan, Hameedah Sahib. "Automated Guided Vehicle, Routing and algorithms." Science Proceedings Series 1, no. 2 (April 15, 2019): 1–3. http://dx.doi.org/10.31580/sps.v1i2.562.

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The routing problem of Automated Guided Vehicle (AGV) targets to discovery the shortest path between two station. AGV is used widly in transporting sysrems. Earily it used in static routing (pre-defined routes), which follow fixed line. Instead of using fixed path, there is another type which is dynamic routing can use to add a high flexibility to the system.To accommodate the increased flexibility and reduce time. In this paper, routing of AGV is introduced. Different AGV shortest path algorithms are presented with highlights their main differences between them. Furthermore, AGV routing in real time using local position system (LPS) wthin labview environment is achived. Keywords: AGV; Dynamic Routing; Shortest Path Algorithm; local position system ____________________________________________________________________

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7

Pradhan, S. K., Amit Kumar, and A. N. Sinha. "Some Analysis of Automated Guided Vehicle." Applied Mechanics and Materials 592-594 (July 2014): 2225–28. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2225.

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AGV is mostly used in industrial application to move material around manufacturing facility. Here assembling of AGV is done by using components like chassis, wheels, wiper motors, gear motor, LED sensors, tactile sensor, actuators etc. AGV is designed with the help of electrical design of sensors which are used to control AGV during operation when it is moved on guided path. AGV design was modelled and simulated using catiaV5 software .Design was modelled and drawing preparation was done using catiaV5.Static analysis was done for stress using catiaV5 .Here principal stresses at different point were obtained having different deflection .Graphs are plotted for principal stress verses deflection and Navigation performance of AGV uses electric motor .Thus AGV is used to pick up the object with proper gripping system. A navigation system has been developed using sensors. AGV contains software and hardware components and is primarily used for material handling in industries. Static analysis was done for stress using catiaV5. Graphs are plotted for principal stress vs. deflection. The same analysis can be done for different material depending on loading condition. Stress analysis concept can be used to study dynamic analysis. Optimization of AGV can be possible by using different material. To evaluate the performance simulations were conducted using catiaV5 maintaining a constant setup inputs all over. IndexTerms:Catia,navigation,optimization

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8

Wang, Hsiao-Fan, and Ching-Min Chang. "Facility Layout for an Automated Guided Vehicle System." Procedia Computer Science 55 (2015): 52–61. http://dx.doi.org/10.1016/j.procs.2015.07.007.

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9

Vosniakos, G. C., and A. G. Mamalis. "Automated guided vehicle system design for FMS applications." International Journal of Machine Tools and Manufacture 30, no. 1 (January 1990): 85–97. http://dx.doi.org/10.1016/0890-6955(90)90044-j.

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10

Kasilingam, R. G., and S. L. Gobal. "Vehicle requirements model for automated guided vehicle systems." International Journal of Advanced Manufacturing Technology 12, no. 4 (July 1996): 276–79. http://dx.doi.org/10.1007/bf01239614.

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11

Jakubiec, Beata. "Power supply systems of Automated Guided Vehicle l." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 6 (June 30, 2018): 486–89. http://dx.doi.org/10.24136/atest.2018.118.

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The development of technologies in the field of energy storage and loader solutions has influenced the creation of many ways to power the automatic trucks. The article discusses the technologies of power systems used in Automated Guided Vehicle.

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12

Malmborg, Charles J. "A decision support system for automated guided vehicle system design." Applied Mathematical Modelling 16, no. 4 (April 1992): 170–80. http://dx.doi.org/10.1016/0307-904x(92)90055-8.

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13

Kato, Shigeru, and Kok Wai Wong. "Intelligent Automated Guided Vehicle Controller with Reverse Strategy." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (May 20, 2011): 304–12. http://dx.doi.org/10.20965/jaciii.2011.p0304.

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This paper describes the intelligent Automated Guided Vehicle (AGV) control system using Fuzzy Rule Interpolation (FRI) method. The AGV used in this paper is a virtual vehicle simulated using computer. The purpose of the control system is to control the simulated AGV by moving along the given path towards a goal. Some obstacles can be placed on or near the path to increase the difficulties of the control system. The intelligent AGV should follow the path by avoiding these obstacles. This system consists of two fuzzy controllers. One is the original FRI controller that mainly controls the forward movement of the AGV. Another one is the proposed reverse movement controller that deals with the critical situation. When the original FRI controller faces the critical situation, our proposed reverse controller will control the AGV to reverse and move forward towards the goal. Our proposed reverse controller utilizes the advantage of FRI method. In our system, we also develop a novel switching system to switch from original to the developed reverse controller.

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14

Nayyar, Pranab, and Suresh K. Khator. "Operational control of multi-load vehicles in an automated guided vehicle system." Computers & Industrial Engineering 25, no. 1-4 (September 1993): 503–6. http://dx.doi.org/10.1016/0360-8352(93)90330-z.

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15

Zhang, Xin, Hao Zhou, and Guo Song Liu. "Design of the Automatic Guided Vehicle Control System Applied to Automotive Logistics." Applied Mechanics and Materials 644-650 (September 2014): 381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.381.

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In order to improve the efficiency of auto parts distribution logistics, to lower the cost of auto production in transportation logistics, and to reduce accidents, in this paper it is designed that an automatic guided vehicle control system to replace the manned tractors in the distribution sites. The system is equipped with an infrared homing device that can ensure the automated guided vehicle (AGV) along a predetermined route automatic driving at a given distribution information, without the needs to manually guided. Test results show that the circuit performance of AGV control system is stable to ensure the accuracy of the tracking in the practical application, and the mean absolute error of the tracking is less than 0.04m.

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16

Tubis, Agnieszka A., Honorata Poturaj, and Anna Smok. "Interaction between a Human and an AGV System in a Shared Workspace—A Literature Review Identifying Research Areas." Sustainability 16, no. 3 (January 23, 2024): 974. http://dx.doi.org/10.3390/su16030974.

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Background: This article presents the results of a literature review from 2018 to 2023, which focused on research related to human and AGV system cooperation in a shared workspace. This study defines AGV systems as systems using Automated Guided Vehicles or Autonomous Guided Vehicles. An Automated Guided Vehicle is a cart that follows a guided path, while an Autonomous Guided Vehicle is an Automated Guided Vehicle that is autonomously controlled. The analyses conducted answered two research questions: (RQ1) In what aspects are the human factor examined in publications on the implementation and operation of AGV systems? (RQ2) Has the human-AGV collaboration aspect been analyzed in the context of a sustainable work environment? Methods: The literature review was conducted following the systematic literature review method, using the PRISMA approach. Results: Based on the search of two journal databases, according to the indicated keywords, 1219 documents pertaining to the analyzed issues were identified. The selection and elimination of documents that did not meet the defined criteria made it possible to limit the number of publications to 117 articles and proceedings papers. On this basis, the authors defined a classification framework comprising five basic research categories and nine subcategories. The analyzed documents were classified, and each distinguished group was characterized by describing the results. Conclusions: The development of a two-level classification framework for research from the analyzed area according to the assumptions of the concept map and the identification of research gaps in the area of human-AGV interaction.

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17

Ryoo, Young-Jae. "Development of Magnetic Guidance System for Automated Guided Vehicle." Journal of Korean Institute of Intelligent Systems 29, no. 3 (June 30, 2019): 216–21. http://dx.doi.org/10.5391/jkiis.2019.29.3.216.

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18

KIM, CHANG WAN, and J. M. A. TANCHOCOJ. "Operational control of a bidirectional automated guided vehicle system." International Journal of Production Research 31, no. 9 (September 1993): 2123–38. http://dx.doi.org/10.1080/00207549308956848.

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19

Pedan, Marko, Milan Gregor, and Dariusz Plinta. "Implementation of Automated Guided Vehicle System in Healthcare Facility." Procedia Engineering 192 (2017): 665–70. http://dx.doi.org/10.1016/j.proeng.2017.06.115.

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20

Liu, Chin-I., Hossein Jula, Katarina Vukadinovic, and Petros Ioannou. "Automated guided vehicle system for two container yard layouts." Transportation Research Part C: Emerging Technologies 12, no. 5 (October 2004): 349–68. http://dx.doi.org/10.1016/j.trc.2004.07.014.

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21

Gmiterko, Alexander. "LINE RECOGNITION SENSORS." TECHNICAL SCIENCES AND TECHNOLOGIES, no. 4 (14) (2018): 194–200. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-194-200.

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Urgency of the research. There is a need from industrial practice for developing of methods for linefollowing navigation of automated guided vehicle (AGV) for logistic task in factories without operators. Target setting. Various types of navigation methods are used for vehicles. Actual scientific researches and issues analysis. Navigation of this automated guided vehicle can be made through the color line on ground or through the inductive sensed cable located underground. Also magnetically guided method is used. Various types of optical markers can be also used. Nowadays this type of autonomous robot applications grows up, because there is a need from industry. Uninvestigated parts of general matters defining. Next generation of automated guided vehicle is navigated via using laser scanners and they are also called LGV – Laser Guided Vehicle. This type is not covered in this paper. The research objective. The main aim of paper is to design the sensing system for color line sensing. There are several problems in using of these types of sensors. Manufacturer notes that there is placed daylight filter, but first experiments shows sensitivity to daylight. This problem can occurs when vehicle goes to tunnel. Next problem is when vehicle moves uphill and downhill on a bridge. The statement of basic materials. The color of sensor can be sensed with sensor - reflection optocoupler working in infrared light range. The optocoupler includes the infrared LED transmitter and infrared phototransistor, which senses the reflected light. Optocouplers are placed on bottom side of vehicle. Navigation line is black and other ground area is white. Optocoupler located over the navigation black line has no infrared reflection. Conclusions. The selected sensor system has been adapted for line detection application. Also ramp problems have been solved. Sensors have been successfully installed on linefollower vehicle. Results shows visible difference between the voltage levels related to black and white color line. Future plans is to add camera vision system for automatic recognition of line before vehicle and continuously path planning. Vision systems are also frequently used for obstacle detection and mapping of environment and consequently for path planning.

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22

Li, Yong Kui, Li Jun Chen, and Xue Wei Bai. "Design of Automated Guided Vehicle for Field Application." Advanced Materials Research 461 (February 2012): 88–92. http://dx.doi.org/10.4028/www.scientific.net/amr.461.88.

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A type of GPS-navigation wheel testing vehicle was designed for operating in field environment. The commonly used material and standardized parts were selected to construct mechanical system; and the general electronic component as well as personal computer was used to construct the control system. The experiment conducted with the testing vehicle shows that the vehicle has sufficient capacity for ordinary loading, meanwhile it runs smoothly and of good maneuverability. It provides a practical platform for studying GPS-navigation technique applied on agricultural machines in field working condition

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23

Zhang, Jie, Yuntao Peng, William N. N. Hung, Xiaojuan Li, Jindong Tan, and Zhiping Shi. "A Case Study on Formal Analysis of an Automated Guided Vehicle System." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/327465.

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This paper considers a hybrid I/O automata model for an automated guided vehicle (AGV) system. A set of key properties of an AGV system are characterized for the correctness of the system. An abstract model is constructed from the hybrid automata model to simplify the proof of the constraints. The two models are equivalent in terms of bisimulation relation. We derive the constraints to ensure the correctness of the properties. We validate the system by analyzing the parameters of the constraints of the AGV system.

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24

Huang, C. "Design of material transportation system for tandem automated guided vehicle systems." International Journal of Production Research 35, no. 4 (April 1997): 943–53. http://dx.doi.org/10.1080/002075497195461.

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25

Thonemann, Ulrich W., and Margaret L. Brandeau. "Designing A Single-Vehicle Automated Guided Vehicle System with Multiple Load Capacity." Transportation Science 30, no. 4 (November 1996): 351–63. http://dx.doi.org/10.1287/trsc.30.4.351.

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26

Ji, Min, and Jun Xia. "Analysis of vehicle requirements in a general automated guided vehicle system based transportation system." Computers & Industrial Engineering 59, no. 4 (November 2010): 544–51. http://dx.doi.org/10.1016/j.cie.2010.06.013.

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27

Mashud, M. A. A., M. R. Hossain, Mustari Zaman, and M. A. Razzaque. "PC Guided Automatic Vehicle System." International Journal on Cybernetics & Informatics 3, no. 6 (December 31, 2014): 1–10. http://dx.doi.org/10.5121/ijci.2014.3601.

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28

LIM, Jae Kook, Kap Hwan KIM, Ki Young KIM, Teruo TAKAHASHI, and Kazuho YOSHIMOTO. "Dynamic Routing in Automated Guided Vehicle Systems." JSME International Journal Series C 45, no. 1 (2002): 323–32. http://dx.doi.org/10.1299/jsmec.45.323.

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29

Interrante, Leslie D., and Daniel M. Rochowiak. "Active rescheduling for automated guided vehicle systems." Intelligent Systems Engineering 3, no. 2 (1994): 87. http://dx.doi.org/10.1049/ise.1994.0012.

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30

Kiesel, Raphael, Leonhard Henke, Alexander Mann, Florian Renneberg, Volker Stich, and Robert H. Schmitt. "Techno-Economic Evaluation of 5G Technology for Automated Guided Vehicles in Production." Electronics 11, no. 2 (January 9, 2022): 192. http://dx.doi.org/10.3390/electronics11020192.

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The fifth generation of mobile communication (5G) is expected to bring immense benefits to automated guided vehicles by improving existing respectively enabling 5G-distinctive network control systems, leading to higher productivity and safety. However, only 1% of production companies have fully deployed 5G yet. Most companies currently lack an understanding of return on investment and of technical use-case benefits. Therefore, this paper analyses the influence of 5G on an automated guided vehicle use case based on a five-step evaluation model. The analysis is conducted with a use case in the Digital Experience Factory in Aachen. It shows a difference of net present value between 4G and 5G of 1.3 M€ after 10 years and a difference of return of investment of 66%. Furthermore, analysis shows an increase of mobility (13%), productivity (20%) and safety (136%). This indicates a noticeable improvement of a 5G-controlled automated guided vehicle compared to a 4G-controlled automated guided vehicle.

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31

Hsieh, Ling‐Feng, and D. Y. Sha. "A design process for tandem automated guided vehicle systems: the concurrent design of machine layout and guided vehicle routes in tandem automated guided vehicle systems." Integrated Manufacturing Systems 7, no. 6 (December 1996): 30–38. http://dx.doi.org/10.1108/09576069610151167.

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32

Fernandes, JM, TI Van Niekerk, G. Scott, and S. Church. "DESIGN AND DEVELOPMENT OF AN INDUSTRY STANDARD AUTOMATED GUIDED VEHICLE FOR PART COLLECTION AND DELIVERY AT AN ASSEMBLY LINE." Journal for New Generation Sciences 20, no. 1 (August 1, 2022): 1–13. http://dx.doi.org/10.47588/jngs.2022.20.01.a1.

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For world-class manufacturers, flexible automated materials handling is becoming a necessity. It succeeds in providing manufacturers with a competitive advantage and serves as a market differentiator within a mass customisation production environment. This paper presents the design and development of an Automatic Guided Vehicle for automated part collection and delivery at an assembly line. The developed system is modular and thus supports ease of maintenance and maximum manoeuvrability for automatic loading and unloading of components. Furthermore, seamlessly integrated safety features and fully reprogrammable control and navigation systems ensure that the vehicle can reliably operate in any indoor environment with minimal risk to humans or plant facilities. The authors address actual vehicle design-related issues, including considerations for the chassis and suspension system design, electrical drive system layout, free-range navigation capability, safety, control system and battery management system integration. A structured qualitative approach is presented to identify the strengths and weaknesses of the design and development phases.

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33

Liu, Shiming, William A. Gruver, and Dilip B. Kotak. "Holonic coordination and control of an automated guided vehicle system." Integrated Computer-Aided Engineering 9, no. 3 (July 2, 2002): 235–50. http://dx.doi.org/10.3233/ica-2002-9304.

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34

BISCHAK, DIANE P., and KEITH B. STEVENS. "An evaluation of the tandem configuration automated guided vehicle system." Production Planning & Control 6, no. 5 (September 1995): 438–44. http://dx.doi.org/10.1080/09537289508930301.

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35

TAGHABONI-DUTTA, F., and J. M. A. TANCHOCO. "Comparison of dynamic routeing techniques for automated guided vehicle system." International Journal of Production Research 33, no. 10 (October 1995): 2653–69. http://dx.doi.org/10.1080/00207549508945352.

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36

NAGAO, Yoichi, Hideaki OHTA, Hironobu URABE, Sadatoshi KUMAGAI, and Shinzo KODAMA. "Application of Petri Net to Automated Guided Vehicle Control System." Transactions of the Institute of Systems, Control and Information Engineers 5, no. 11 (1992): 469–79. http://dx.doi.org/10.5687/iscie.5.469.

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37

Veselov, V. A., V. G. Kuznetsov, V. K. Mishkinyuk, V. P. Noskov, L. N. Polyakov, and P. S. Sologub. "Automated Guided Vehicle Control System for Territorially Stationed Flexible Manufactures." IFAC Proceedings Volumes 19, no. 2 (April 1986): 287–89. http://dx.doi.org/10.1016/s1474-6670(17)64137-5.

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38

Gu, Wenbin, Yuxin Li, Kun Zheng, and Minghai Yuan. "A bio-inspired scheduling approach for machines and automated guided vehicles in flexible manufacturing system using hormone secretion principle." Advances in Mechanical Engineering 12, no. 2 (February 2020): 168781402090778. http://dx.doi.org/10.1177/1687814020907787.

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The product quality and production efficiency of a flexible manufacturing system have improved effectively by introducing the computer management and the material transportation system. The flexible manufacturing system performance greatly depends on the performance of the material transportation system. As a mobile robot controlled by a central controller, an automated guided vehicle has a strong ability for material transportation. This article studies a dynamic scheduling problem in a shop floor, where machines and automated guided vehicles run at a specified speed and specifies a mathematical model for the dynamic scheduling problem with the goal of makespan minimization. Meanwhile, inspired by the hormone secretion principle of the endocrine system, a bio-inspired scheduling optimization approach is developed to solve the dynamic scheduling problem in the flexible manufacturing system. To verify its practical application, the bio-inspired scheduling optimization approach and other scheduling approaches are tested, and the results illustrate that the bio-inspired scheduling optimization approach has better scheduling performance as well as optimizes the quality of integrated and real-time scheduling of machines and automated guided vehicles.

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39

Chen, Pei-Jarn, Szu-Yueh Yang, Yen-Pei Chen, Muslikhin Muslikhin, and Ming-Shyan Wang. "Slip Estimation and Compensation Control of Omnidirectional Wheeled Automated Guided Vehicle." Electronics 10, no. 7 (April 1, 2021): 840. http://dx.doi.org/10.3390/electronics10070840.

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To achieve Industry 4.0 solutions for the networking of mechatronic components in production plants, the use of Internet of Things (IoT) technology is the optimal way for goods transportation in the cyber-physical system (CPS). As a result, automated guided vehicles (AGVs) are networked to all other participants in the production system to accept and execute transport jobs. Accurately tracking the planned paths of AGVs is therefore essential. The omnidirectional mobile vehicle has shown its excellent characteristics in crowded environments and narrow aisle spaces. However, the slip problem of the omnidirectional mobile vehicle is more serious than that of the general wheeled mobile vehicle. This paper proposes a slip estimation and compensation control method for an omnidirectional Mecanum-wheeled automated guided vehicle (OMWAGV) and implements a control system. Based on the slip estimation and compensation control of the general wheeled mobile platform, a Microchip dsPIC30F6010A microcontroller-based system uses an MPU-9250 multi-axis accelerometer sensor to derive the longitudinal speed, transverse speed, and steering angle of the omnidirectional wheel platform. These data are then compared with those from the motor encoders. A linear regression with a recursive least squares (RLS) method is utilized to estimate real-time slip ratio variations of four driving wheels and conduct the corresponding compensation and control. As a result, the driving speeds of the four omnidirectional wheels are dynamically adjusted so that the OMWAGV can accurately follow the predetermined motion trajectory. The experimental results of diagonally moving and cross-walking motions without and with slip estimation and compensation control showed that, without calculating the errors occurred during travel, the distances between the original starting position to the stopping position are dramatically reduced from 1.52 m to 0.03 m and from 1.56 m to 0.03 m, respectively. The higher tracking accuracy of the proposed method verifies its effectiveness and validness.

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40

Habib, Robert Sh, Harootyun Sh Habib, and Bassam S. Majeed. "Experimental Self-Location Vehicle Based on Ultrasonic Waves Guided System." International Journal of Electrical Engineering & Education 30, no. 3 (July 1993): 224–35. http://dx.doi.org/10.1177/002072099303000306.

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Experimental self-location vehicle based on an ultrasonic wave-guided system This paper describes the design and implementation of an automated guided vehicle, based on a microcomputer-controlled ultrasonic self-location system. Dynamic performance and system repeatability are evaluated by tests carried out on the applied self-navigating algorithm. The system is suitable for robotics or FMS laboratory experiments utilising the implemented hardware and relevant software.

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41

Sperling, Marvin, and Kai Furmans. "Energy Requirement Modeling for Automated Guided Vehicles Considering Material Flow and Layout Data." Designs 8, no. 3 (May 21, 2024): 48. http://dx.doi.org/10.3390/designs8030048.

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Saving energy and resources has become increasingly important for industrial applications. Foremost, this requires knowledge about the energy requirement. For this purpose, this paper presents a state-based energy requirement model for mobile robots, e.g., automated guided vehicles or autonomous mobile robots, that determines the energy requirement by integrating the linearized power requirement parameters within each system state of the vehicle. The model and their respective system states were verified using a qualitative process analysis of 25 mobile robots from different manufacturers and validated by comparing simulated data with experimental data. For this purpose, power consumption measurements over 461 operating hours were performed in experiments with two different industrial mobile robots. System components of a mobile robot, which require energy, were classified and their power consumptions were measured individually. The parameters in the study consist of vehicle speed, load-handling duration, load, utilization, material flow and layout data, and charging infrastructure system frequency, yet these varied throughout the experiments. Validation of the model through real experiments shows that, in a 99% confidence interval, the relative deviation in the modeled power requirement for a small-scale vehicle is [−1.86%,−1.14%], whereas, for a mid-scale vehicle, it is [−0.73%,−0.31%]. This sets a benchmark for modeling the energy requirement of mobile robots with multiple influencing factors, allowing for an accurate estimation of the energy requirement of mobile robots.

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42

R, Aditya. "Hassle - Free Load Carrying Using Automated Guided Vehicle." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (April 2, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29935.

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In today's rapidly evolving world, where efficiency and sustainability are paramount, businesses are seeking technologies that not only save time and drive profits but also align with their sustainable goals. In response to this demand, a prototype of an Automated Guided Vehicle (AGV) is developed.AGVs are versatile robotic platforms designed to navigate predefined paths while handling heavy loads of materials. The AGV system addresses these needs by utilizing cost-effective RFID tags and an RFID reader for efficient load tracking and navigation. Additionally, it incorporates two infrared (IR) sensors for path detection, an L298N motor driver for precise motor control, an Arduino microcontroller as the central processing unit, and an HC-05 Bluetooth module for wireless communication.By integrating these components, along with feedback control loops and path planning algorithms, The AGV is observed to be an efficient load carrier and can navigate reliably in dynamic environments. Above all, this solution not only saves time and enhances profitability but also promotes sustainability by optimizing resource utilization and minimizing manual intervention. Key Words: AGV(Automated Guided Vehicle),RFID(Radio Frequency Identification) tags, RFID (Radio Frequency Identification)reader, IR sensors, L298N Motor driver, Microcontroller.

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Azimi, Parham. "Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems." Modelling and Simulation in Engineering 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/210628.

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The aim of the current research is to propose a new generation of automated guided vehicle systems for alleviating the collision states in material handling systems where the automated guided vehicles movements are allowed to be both unidirectional and bidirectional. The objective function is to maximize the average annual profit in an FMS system using a simulation method. Despite several researches done in this field, this criterion has been studied rarely. The current study includes some new changes in AGV design for preventing some common problems such as congestions and deadlocks based on real profits/costs analysis in a flexible manufacturing system. For this reason, some experiments have been carried out to study the effects of several empty vehicle dispatching rules on average annual profit. The results show that the proposed framework is efficient and robust enough for industrial environments.

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Tanaya, Prianggada Indra. "Preliminary Development of Subsumption Architecture Control for Automated Guided Vehicle." ROTASI 21, no. 4 (October 23, 2019): 200. http://dx.doi.org/10.14710/rotasi.21.4.200-208.

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Subsumption control architecture is an control architecture based on parallel system. Input of information of sensors is directly connected through modules in the control system, and further the decision making is connected to actuators. Automated Guided Vehicle or AGV is an automated component within integrated manufacturing system. In this article, this control architecture will be designed and implemented to an AGV. Commands are designed based on Object-Oriented technology. The commands are arranged in subsumption, where a command higher subsumed other command of its lower level. GPFO (Greater Priority First Out) technique is implemed for executing the commands by using multi-threading. Experimentation is performed to have the characteristics of commands being executed. This work introduce our effort to design an operating system for an AGV.

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Thonemann, Ulrich W., and Margaret L. Brandeau. "Designing a Zoned Automated Guided Vehicle System with Multiple Vehicles and Multiple Load Capacity." Operations Research 45, no. 6 (December 1997): 857–73. http://dx.doi.org/10.1287/opre.45.6.857.

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SEZEN, Bülent. "Modeling Automated Guided Vehicle Systems in Material Handling." Doğuş Üniversitesi Dergisi 2, no. 4 (April 27, 2003): 207–16. http://dx.doi.org/10.31671/dogus.2019.319.

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GASKINS, R. J., and J. M. A. TANCHOCO. "Flow path design for automated guided vehicle systems." International Journal of Production Research 25, no. 5 (May 1987): 667–76. http://dx.doi.org/10.1080/00207548708919869.

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SEO, Y., and P. J. EGBELU. "Flexible guidepath design for automated guided vehicle systems." International Journal of Production Research 33, no. 4 (April 1995): 1135–56. http://dx.doi.org/10.1080/00207549508930197.

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Goetschalckx, Marc, and Kathleen Henning. "Computer aided engineering of automated guided vehicle systems." Computers & Industrial Engineering 13, no. 1-4 (January 1987): 149–52. http://dx.doi.org/10.1016/0360-8352(87)90070-2.

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Lee, Jim, Richard Hoo-Gon Choi, and Majid Khaksar. "Evaluation of automated guided vehicle systems by simulation." Computers & Industrial Engineering 19, no. 1-4 (January 1990): 318–21. http://dx.doi.org/10.1016/0360-8352(90)90130-e.

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