Relevant bibliographies by topics / Automated Guided Vehicle (AGV)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated Guided Vehicle (AGV)'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Automated Guided Vehicle (AGV)"

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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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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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Pham, Quang Ha, Ngoc Huy Tran, and Thien Phuong Ton. "Design and Control of Automated Guided Vehicle." Applied Mechanics and Materials 902 (September 2020): 33–42. http://dx.doi.org/10.4028/www.scientific.net/amm.902.33.

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Autonomous Guided Vehicles (AGV) have the ability to operate on their own, perform tasks without human intervention. However, the investment cost is very high, so it is not suitable for countries with cheap workers like Vietnam. Therefore, this article will aim to build a complete AGV model that can move to the given coordinates. Model of AGV is 6-wheeled vehicles driven by 4 engines with the advantage of good movement in soft terrain, subsidence, ruggedness, slope, easy to balance and limit the vibration. Furthermore, we propose a method to improve the quality of the traditional A* algorithm by eliminating unnecessary intermediate points, which is Shortcut Path Reduction (SPR). Experimental results show that the vehicle can perform the bending technique, following straight lines and broken lines. Besides, the SPR not only met the requirements but also reduced the length of the journey.
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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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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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Ahmad, Shafeek, Che Fai Yeong, Eileen Lee Ming Su, and Swee Ho Tang. "Improvement of Automated Guided Vehicle Design Using Finite Element Analysis." Applied Mechanics and Materials 607 (July 2014): 317–20. http://dx.doi.org/10.4028/www.scientific.net/amm.607.317.

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Automated Guided Vehicle is a mobile robot used in various industries to transfer goods and materials from one place to another in the industrial compound such as production line and warehouses. Due to the payload it should carry, the design should be able to handle certain level of mechanical stress. The optimization study is important to assure the material and design is safe an optimum under the specified conditions before the AGV is manufactured. In this study, a conventional AGV designed previously by an AGV manufacturer to bring a payload of 70 kg is analyzed using the Finite Element Method (FEM) and SolidWorks software is used to do the FEA simulation. This paper also explain on how the factor of safety for the AGV is derived. The parameter change in this study were the thickness of the sheet metal used to build the AGV while the study output is the stress level, factor of safety and weight of the AGV.
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Margaret, K. S., G. Sathish Kumar, J. Narendiran, and M. Raman. "PLC Based Sub-Assembly Station with Automated Guided Vehicle." International Journal of Emerging Research in Management and Technology 6, no. 7 (June 29, 2018): 256. http://dx.doi.org/10.23956/ijermt.v6i7.221.

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The aim of the project is to build an assembly station with the preventive section under the process of poke yoke system. Poke yoke is the general methodology following in industry to avoid mismatching product in assembly stations. The main aim of this project is to avoid assembling process when the sequential procedure is not followed. The project also deals with AGV – Automatic Guided Vehicle. It automatically shifts the assembling components from store room to work station when the count of components decreases in storage bin. When the material count in the storage bins reaches the preset count it will pass signal to store room, the components will be filled manually in AGV storage bins and then the AGV is moved to the destination point (work station).
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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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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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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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Dissertations / Theses on the topic "Automated Guided Vehicle (AGV)"

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Lamy, Matthieu. "Mechanical development of an automated guided vehicle." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193897.

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Automated guided vehicles (AGV) are more and more used in factories to provide a smart and adaptable material handling based on localization technologies. To use vision and path finding technologies at their full potential in these vehicles, a mechanical system able to move within a small space is required. The purpose of this study was to develop the mechanical structure of an AGV. The structure is composed of a chassis and mecanum wheels. To satisfy the needs, the vehicle had to be able to carry heavy loads while being compact. It also had to be cheap to be competitive on the market. Calculation models were developed to design mecanum wheels. From these models, the structure of the vehicle has been designed. The obtained solution fulfils requirements and solves some problems encountered by the previous design of the vehicle. However the prototype haven’t be fully tested due to manufacturing problems on rollers. This study offers a strong basis to design an AGV and points out common problems related to the design of a holonomic vehicle. Furthermore, some of the solutions proposed in this study need to be tested for validation.
Automatiskt styrda fordon, AGV, används allt mer i fabriker för att ge en smart och anpassningsbar materialhantering baseratdpå lokaliseringsteknik. För att möjliggöra användande av visions- och vägspårningsteknologi till dess rätta potential för automatiskt styrda fordon behövs ett mekaniskt system som kan röra sig på små ytor. Syftet med studien har varit att utveckla den mekaniska strukturen till en AGV. Strukturen består av ett chassi och mecanumhjul. För att uppfylla behovet, måste fordonet kunna bära stora laster samtidigt som det ska vara kompakt. Det krävdes även att den skulle vara billig för att vara konkurrenskraftig på marknaden. Beräkningsmodeller har tagits fram för att möjliggöra utformning av mecanumhjulen. Den hjul- och chassiutformning som tagits fram uppfyller krav som löser problem i föregående utformningar. Prototypen har dock ej blivit fullt testad på grund av tillverkningsproblem av rullarna. Studien har givit en stark bas för utformning av AGV och pekar ut vanliga problem relaterade till utformandet av holonomiska fordon. Lösningarna som presenterats i denna studie behöver testas för att validera utformningen.
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Holgersson, Anton, and Johan Gustafsson. "Trajectory Tracking for Automated Guided Vehicle." Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176423.

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The purpose of this thesis is to investigate different control strategies on a differential drive vehicle. The vehicle should be able to drive in turns at high speed and slowly when it should park next to a charger. In both these cases, good precision in both orientation and distance to the path is important. A PID and an LQ controller have been implemented for this purpose. The two controllers were first implemented in a simulation environment. After implementing the controllers on the system itself, tests to evaluate the controllers were made to imitate real-life situations. This includes tests regarding driving with different speeds in different turns, tests with load distributions, and tests with stopping accuracy. The existing controller on the system was also tested and compared to the new controllers. After evaluating the controllers, it was stated that the existing controller was the most robust. It was not affected much by the load distribution compared to the new controllers. However, the LQ controller was slightly better in most cases, even though it was highly affected by the load distribution. The PID controller performed best regarding stopping accuracy but was the least robust controller by the three. Since the existing controller has a similar performance as the LQ controller but is more robust, the existing controller was chosen as the best one.
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Premi, Sonjoy Kumar. "The design of a free-ranging automated guided vehicle (AGV) system." Thesis, Imperial College London, 1985. http://hdl.handle.net/10044/1/37820.

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Lubbe, Hendrik Gideon. "Intelligent automated guided vehicle (AGV) with genetic algorithm decision making capabilities." Thesis, [Bloemfontein?] : Central University of Technology, Free State, 2007. http://hdl.handle.net/11462/85.

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Thesis (M.Tech.) - Central University of Technology, Free State, 2006
The ultimate goal regarding this research was to make an intelligent learning machine, thus a new method had to be developed. This was to be made possible by creating a programme that generates another programme. By constantly changing the generated programme to improve itself, the machines are given the ability to adapt to there surroundings and, thus, learn from experience. This generated programme had to perform a specific task. For this experiment the programme was generated for a simulated PIC microcontroller aboard a simulated robot. The goal was to get the robot as close to a specific position inside a simulated maze as possible. The robot therefore had to show the ability to avoid obstacles, although only the distance to the destination was given as an indication of how well the generated programme was performing. The programme performed experiments by randomly changing a number of instructions in the current generated programme. The generated programme was evaluated by simulating the reactions of the robot. If the change to the generated programme resulted in getting the robot closer to the destination, then the changed generated programme was kept for future use. If the change resulted in a less desired reaction, then the newly generated programme was removed and the unchanged programme was kept for future use. This process was repeated for a total of one hundred thousand times before the generated program was considered valid. Because there was a very slim chance that the instruction chosen will be advantageous to the programme, it will take many changes to get the desired instruction and, thus, the desired result. After each change an evaluation was made through simulation. The amount of necessary changes to the programme is greatly reduced by giving seemingly desirable instructions a higher chance of being chosen than the other seemingly unsatisfactory instructions. Due to the extensive use of the random function in this experiment, the results differ from one another. To overcome this barrier, many individual programmes had to be generated by simulating and changing an instruction in the generated programme a hundred thousand times. This method was compared against Genetic Algorithms, which were used to generate a programme for the same simulated robot. The new method made the robot adapt much faster to its surroundings than the Genetic Algorithms. A physical robot, similar to the virtual one, was build to prove that the programmes generated could be used on a physical robot. There were quite a number of differences between the generated programmes and the way in which a human would generally construct the programme. Therefore, this method not only gives programmers a new perspective, but could also possibly do what human programmers have not been able to achieve in the past.
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Dzezhyts, Yevheniy. "Next generation low-cost automated guided vehicle." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-19382.

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Automated guided vehicles (AGVs) are the key equipment of flexible production systems and an important means for realizing a modern logistics system that meets the demands of Industry 4.0. AGVs are used from the mid 50th to delegate monotonous work of delivering products from the human to the automated device. In the long run, the usage of AGVs brings huge benefits to the manufacturing companies. But the purchase and installation of these devices significantly increase operational costs. This fact halts small and medium-sized enterprises from adopting this technology on their shop floors. The idea of this thesis work is to design and create a device that can be retailed at a significantly lower price without compromising flexibility and functional properties, to be used by smaller businesses. For this mater are used more affordable parts that can bring the cost down of a final product. This work describes the process of developing a differential drive mobile platform under the control of the robotic operating system. The process includes the development of a virtual model; selection of required components and investigation of their compatibility; development of chassis, suspension, and gear system; development of a hardware interface to interact with hardware components; configuration of different algorithms of control, cartography, and navigation; evaluation of the device. The research method is used in this work is design and creation due to the necessity of creating a physical prototype. The budget specification for the project was set to 50000 SEK and the desired payload capacity was set to 100kg. The work has resulted in the creation of a prototype of the AGV. The cost of the project is 20595 SEK. The evaluation of a prototype resulted in a maximum towing force of 300N. The load capacity is limited by the mobile base is 400kg. Safety sensors are not used in this project as the device was meant to operate in a controlled environment. The work also gives an evaluation of the Gmapping algorithm in case of using the laser scanner (RPlidar A1) and two algorithms of navigation stack: TrajectoryPlannerROS and DWA planner. The final prototype is evaluated to support an autonomous movement within a controlled environment.
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Berlin, Filip, and Sebastian Granath. "Obstacle Detection and Avoidance for an Automated Guided Vehicle." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177709.

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The need for faster and more reliable logistics solutions is rapidly increasing. This is due to higher demands on the logistical services to improve quality,  quantity, speed and reduce the error tolerance. An arising solution to these increased demands is automated solutions in warehouses, i.e., automated material  handling. In order to provide a satisfactory solution, the vehicles need to be smart and able to solve unexpected situations without human interaction.  The purpose of this thesis was to investigate if obstacle detection and avoidance in a semi-unknown environment could be achieved based on the data from a 2D LIDAR-scanner. The work was done in cooperation with the development of a new load-handling vehicle at Toyota Material Handling. The vehicle is navigating from a map that is created when the vehicle is introduced to the environment it will be operational within. Therefore, it cannot successfully navigate around new unrepresented obstacles in the map, something that often occurs in a material handling warehouse. The work in this thesis resulted in the implementation of a modified occupancy grid map algorithm, that can create maps of previously unknown environments if the position and orientation of the AGV are known. The generated occupancy grid map could then be utilized in a lattice planner together with the A* planning algorithm to find the shortest path. The performance was tested in different scenarios at a testing facility at Toyota Material Handling.  The results showed that the occupancy grid provided an accurate description of the environment and that the lattice planning provided the shortest path, given constraints on movement and allowed closeness to obstacles. However, some performance enhancement can still be introduced to the system which is further discussed at the end of the report.  The main conclusions of the project are that the proposed solution met the requirements placed upon the application, but could benefit from a more efficient usage of the mapping algorithm combined with more extensive path planning.

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Manhed, Joar. "Investigating Simultaneous Localization and Mapping for an Automated Guided Vehicle." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163075.

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The aim of the thesis is to apply simultaneous localization and mapping (SLAM) to automated guided vehicles (AGVs) in a Robot Operating System (ROS) environment. Different sensor setups are used and evaluated. The SLAM applications used is the open-source solution Cartographer as well as Intel's own commercial SLAM in their T265 tracking camera. The different sensor setups are evaluated based on how well the localization will give the exact pose of the AGV in comparison to another positioning system acting as ground truth.
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Hamilton, Wade W. "A methodology that integrates the scheduling of job sequencing and AGV dispatching in a FMS." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-09042008-063108/.

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Benmounah, Abderazak. "Transputer control of an AGV : design, construction and testing of a mobile platform." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293170.

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Boje, E. P., and B. J. Kotze. "An integrated control system for an Automatic Guided Vehicle (AGV)." Interim : Interdisciplinary Journal, Vol 7, Issue 1: Central University of Technology Free State Bloemfontein, 2008. http://hdl.handle.net/11462/376.

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An immense amount of research is currently, being done on the development and use of Automatic Guided Vehicles (AGVs) in industry. An important component of this research often involves navigation and route-optimization of such AGVs. In this paper the design and control of an AGV, using a stationary control system and a GPS-like navigational system, is discussed. Substantial provision has also been made for the display of operational characteristics of the AGV on the stationary control unit.
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Books on the topic "Automated Guided Vehicle (AGV)"

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Castleberry, Guy A. The AGV handbook: A handbook for the selection of automated guided vehicle systems. Ann Arbor, Mich: Braun-Brumfield, 1991.

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Castleberry, Guy A. AGV system specification, procurement, and implementation guide: A step-by-step guide to purchasing and installing an automated guided vehicle system. Port Washington: AGV Decisions, 1992.

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Hammond, Gary. AGVS at work: Automated guided vehicle systems. Bedford: IFS, 1986.

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Chaturvedi, Alok R. A model for simulating AGV congestion in an FMS. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1990.

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International, Conference on Automated Guided Vehicle Systems (4th 1986 Chicago Ill ). Proceedings of the 4th International Conference on Automated Guided Vehicle Systems, 24-26 June 1986, Chicago, USA, AGVS-4: An international event organised and sponsored by IFS (Conferences) Ltd, Kempston, Bedford, UK in conjunction with Cahners Exposition Group, USA. Kempston, Bedford, UK: IFS (Conferences), 1986.

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International Conference on Automated Guided Vehicle Systems (5th 1987 Tokyo, Japan). Automated guided vehicle systems: Proceedings of the 5th international conference, 6-8 October 1987, Tokyo, Japan : AGVS-5. Kempston, Bedford, UK: IFS (Conferences) Ltd., 1987.

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Ullrich, Günter. Automated Guided Vehicle Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44814-4.

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Rachel, Subrin, ed. Automated guided vehicles and automated manufacturing. Dearborn, Mich: Society of Manufacturing Engineers, Publications Development Dept., Marketing Division, 1987.

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Ujvari, Sandor. Simulation in automated guided vehicle system design. Leicester: De Montfort University, 2003.

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Gutsche, Ralf. Fahrerlose Transportsysteme: Automatische Bahnplanung in dynamischen Umgebungen. Braunschweig: Vieweg, 1994.

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Book chapters on the topic "Automated Guided Vehicle (AGV)"

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Ullrich, Günter. "Interdisciplinary Design of Automated Guided Vehicle Systems (AGVS)." In Automated Guided Vehicle Systems, 197–227. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44814-4_5.

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Kim, Dae Hwan, Nguyen Trong Hai, and Woong Yeol Joe. "A Guide to Selecting Path Planning Algorithm for Automated Guided Vehicle (AGV)." In Lecture Notes in Electrical Engineering, 587–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69814-4_56.

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Kim, C. W., and J. M. A. Tanchoco. "Bidirectional Automated Guided Vehicle Systems (AGVS)." In Material Flow Systems in Manufacturing, 239–72. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2498-4_9.

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Heger, Jens, and Thomas Voss. "Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops." In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 151–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66923-6_18.

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Kim, Dae Hwan, Yong Won Hwang, and Sang Bong Kim. "Modeling and Control System Design of Four Wheel Independent Steering Automatic Guided Vehicle (AGV)." In Lecture Notes in Electrical Engineering, 696–703. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69814-4_67.

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Koff, Gary A. "Automated Guided Vehicle Systems." In The Electronics Assembly Handbook, 562–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-13161-9_89.

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Ullrich, Günter. "The History of Automated Guided Vehicle Systems." In Automated Guided Vehicle Systems, 1–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44814-4_1.

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Ullrich, Günter. "Modern Areas of Application." In Automated Guided Vehicle Systems, 15–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44814-4_2.

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Ullrich, Günter. "Technological Standards." In Automated Guided Vehicle Systems, 97–163. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44814-4_3.

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Ullrich, Günter. "The Fourth Era." In Automated Guided Vehicle Systems, 165–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44814-4_4.

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Conference papers on the topic "Automated Guided Vehicle (AGV)"

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Sankari, J., and R. Imtiaz. "Automated guided vehicle(AGV) for industrial sector." In 2016 10th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2016. http://dx.doi.org/10.1109/isco.2016.7726962.

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Schulze, L., M. Lucas, and A. Baumann. "Automated Guided Vehicle Systems Trends in Technology and Application." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-80366.

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The automation of transportation in the production, trade and service sector is a key point in the optimization of logistics. For this task Automated Guided Vehicle Systems (AGVS) provide special benefits. Main points of these systems are the central controlled Automated Guided Vehicles (AGV). In the beginning, the vehicles were guided by optical or inductive guidelines. The main disadvantages of guidelines are the inflexibility regarding the modification and changing of the routing and the necessity of installations on or in the ground. New developments result in guidance without guidelines. An example of this development is the laser guidance for the AGV. The AGVs have a high individuality. They are usually developed and constructed for the demands of a special application and are therefore unique. Due to this individuality a special problem is the wide variety of maintenance and part logistics. Research and development leads to new approaches to this question. Examples are the implementation of the modulation of AGV and the implementation of construction kits. Further points are the reduction of complexity of the modules and the establishment of compatibility between various AGVS-producers. Another main direction of the development is the supplementary automation of standard fork lift trucks. At the Department of Planning and Controlling of Transport Systems and Warehouses, University of Hanover (PSLT), an AGV was developed and established for further research. This AGV is used for verification and validation of new hardware and software components, like safety, navigation or controlling parts. It is strictly modular composed and offers a high adaptation in different directions. Based on the AGVS-Statistic Europe, which is created and administrated by the department PSLT, the main application of AGVS and the industrial sectors in which they are used are analyzed. With this database developments and current trends in the AGVS-sector are identified. More and more the AGVS-producers have to offer their products in a global competition. The relevance of AGVS in the area of automation will increase in the future.
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Faber Archila, John, and Marcelo Becker. "Mathematical models and design of an AGV (Automated Guided Vehicle)." In 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iciea.2013.6566670.

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Peng, Jih-Sien, and Yen-Chen Liu. "Towards Cooperative Transportation of Multiple Mecanum-Wheeled Automated Guided Vehicles." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9141.

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Abstract Utilizing multiple small-sized automated guided vehicles (AGVs) in cooperatively transport large and heavy objects in manufacturing factories or logistics is an emerging research direction. Flexibility and efficiency can be enhanced by using multi-AGV comparing to a large AGV with higher capacity especially in clutter environments. In this paper, a multi-AGV system by using Mecanum wheels to provide omnidirectional movement is proposed for cooperative transportation. Accordingly, the proposed Mecanum-wheeled automated guided vehicles (MWAGVs) composed of Mecanum wheels and a rotary platform provides not only non-constrained movement but also planar displacement for allowance of distance errors. In the proposed MWAGVs, the formation control with fixed geometry during operation is significant especially with unknown object information, dynamic uncertainties, and external disturbances. Therefore, the passivity-based adaptive synchronizing control algorithm is developed to ensure stability and tracking performance with uncertain dynamic parameters. Simulations and Experiments show the efficacy of designed Mecanum-wheeled AGV.
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Ray, Anjan Kumar, Meenakshi Gupta, Laxmidhar Behera, and Mo Jamshidi. "Sonar based Autonomous Automatic Guided Vehicle (AGV) navigation." In 2008 IEEE International Conference on System of Systems Engineering (SoSE). IEEE, 2008. http://dx.doi.org/10.1109/sysose.2008.4724179.

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Li, Luyang, Yun-Hui Liu, Mu Fang, Zhizeng Zheng, and Hengbo Tang. "Vision-based intelligent forklift Automatic Guided Vehicle (AGV)." In 2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015. http://dx.doi.org/10.1109/coase.2015.7294072.

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Ansarey M., S. M. Mehdi, and M. J. Mahjoob. "Trajectory Control of an Automated Guided Vehicle Using Feedback Linearization." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95727.

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In this paper, the dynamics and control of an automated guided vehicle (AGV) is described. The objective is to control the vehicle direction and location with respect to a prescribed trajectory. This is accomplished based on an optimum control strategy using vehicle state variables. A four-wheel vehicle with three degrees of freedom including longitudinal, lateral and yaw motion is considered. The nonlinearity of the tire and steering mechanism is also included. The control system design for circular, straight forward and composite path is presented based on feedback linearization. Some trajectory simulation for discrete curvatures is carried out. The controller was implemented within MATLAB environment. The design was also evaluated using ADAMS full vehicle assembly. The results demonstrated the accuracy of the model and the effectiveness of the developed control system.
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Zhang, Jie, and Xiaobo Liu-Henke. "Model-based design of the vehicle dynamics control for an omnidirectional automated guided vehicle (AGV)." In 2020 Mechatronics Systems and Materials (MSM). IEEE, 2020. http://dx.doi.org/10.1109/msm49833.2020.9202248.

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Moshayedi, Ata Jahangir, Jinsong Li, and Liefa Liao. "Simulation study and PID Tune of Automated Guided Vehicles (AGV)." In 2021 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). IEEE, 2021. http://dx.doi.org/10.1109/civemsa52099.2021.9493679.

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Majumder, Indranil, Nagi G. Naganathan, and Young-Gon Kim. "Development and Real Time Implementation of a Collision Detection Algorithm for an Automated Guided Vehicle." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0352.

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Abstract An algorithm has been developed for detecting a collision-free path for an Automated Guided Vehicle (AGV) when it is required to navigate in an unstructured environment. Real time implementation issues are discussed and investigated experimentally using an ultrasonic sensor system. Concepts of obstacle matrix and path penalty are used in the guidance of the vehicle in a work area discretized as matrix cells. Two search methods namely, the arc searching method and obstacle crawling method, are developed for the AGV to facilitate navigation. The algorithm is capable of admitting the appropriate search method depending on the nature of the obstacles in the work area. Case studies using real time data from ultrasonic sensors demonstrate an excellent level of performance for the algorithm.
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Reports on the topic "Automated Guided Vehicle (AGV)"

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Norcross, Richard J., Roger V. Bostelman, and Joseph A. Falco. Automated Guided Vehicle Bumper Test Method Development. National Institute of Standards and Technology, May 2015. http://dx.doi.org/10.6028/nist.ir.8029.

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Watson, T. L. ,. Fluor Daniel Hanford. W-026 acceptance test report automatic guided vehicles (AGV)(submittal {number_sign}249). Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/330750.

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