Relevant bibliographies by topics / Automated guided vehicle systems industry

Contents

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

Academic literature on the topic 'Automated guided vehicle systems industry'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Automated guided vehicle systems industry"

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Vancea, A. P., and I. Orha. "A survey in the design and control of automated guided vehicle systems." Carpathian Journal of Electronic and Computer Engineering 12, no. 2 (December 1, 2019): 41–49. http://dx.doi.org/10.2478/cjece-2019-0016.

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Abstract Automatic guided vehicles (AGVs) play an important role in the small-scale industry as well as the largescale industry in handling materials inside factories from one place to another. In the last days, the materials to be handled are more numerous and as production and demand increase, it strongly influences the transport of materials in desperate need of a vehicle to distribute, position the materials within the industry. AGVs are generally installed with wires at ground level and signals are transmitted through them to be controlled. Due to the emergence of the AGV, the workload of the human being gradually decreased and the production efficiency increased. Thus, the need for an AGV has become more technologically important in the advanced robotic world. Normally, these systems are integrated into a global production system, where is a need to make direct changes in the design and planning of the floor store to get most of them. But in the rapidly changing production system and the adaptable floor store, the implementation of AGV has become very important and difficult, because it depends on many systems, such as wires, frequency, total production, etc. Therefore, it is necessary to develop an independent AGV, which can operate on its own and make decisions based on changes in the environment.
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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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Aloui, Khalil, Amir Guizani, Moncef Hammadi, Thierry Soriano, and Mohamed Haddar. "Integrated Design Methodology of Automated Guided Vehicles Based on Swarm Robotics." Applied Sciences 11, no. 13 (July 3, 2021): 6187. http://dx.doi.org/10.3390/app11136187.

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In recent years, collaborative robots have become one of the main drivers of Industry 4.0. Compared to industrial robots, automated guided vehicles (AGVs) are more productive, flexible, versatile, and safer. They are used in the smart factory to transport goods. Today, many producers and developers of industrial robots have entered the AGV sector. However, they face several challenges in designing AGV systems, such as the complexity and discontinuity of the design process, as well as the difficulty of defining a decentralized system decision. In this paper, we propose a new integrated design methodology based on swarm robotics to address the challenges of functional, physical, and software integration. This methodology includes two phases: a top-down phase from requirements specification to functional and structural modeling using the systems modeling language (SysML); with a bottom-up phase for model integration and implementation in the robot operating system (ROS). A case study of an automated guided vehicle (AGV) system was chosen to validate our design methodology and illustrate its contributions to the efficient design of AGVs. The novelty of this proposed methodology is the combination of SysML and ROS to address traceability management between the different design levels of AGV systems, in order to achieve functional, physical and software integration.
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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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Sierra-García, J. Enrique, and Matilde Santos. "Mechatronic Modelling of Industrial AGVs: A Complex System Architecture." Complexity 2020 (December 29, 2020): 1–21. http://dx.doi.org/10.1155/2020/6687816.

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Automatic guided vehicles (AGVs) are unmanned transport vehicles widely used in the industry to substitute manned industrial trucks and conveyors. They are now considered to play a key role in the development of the Industry 4.0 due to their temporal and spatial flexibility. However, in order to deal with the AGV as a potential mobile robot with high capacities and certain level of intelligence, it is necessary to develop control-oriented models of these complex and nonlinear systems. In this paper, the modelling of this vehicle as a whole is addressed. It can be considered composed of several interrelated subsystems: control, safety, driving, guiding and localization, power storage, and charging systems. The kinematics equations of a tricycle vehicle are obtained, and a controller is proposed. An extended hybrid automata formalism is used to define the behaviour of the safety and the control systems, as well as their interaction. In addition, the electrical equivalent circuit of the batteries, charger, and the motors is studied. The architecture of the holistic model is presented. Simulation results of the AGV in a workspace scenario validate the model and prove the efficiency of this approach.
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Pransky, Joanne. "The Pransky interview: Mitchell Weiss, CTO, Seegrid Corporation." Industrial Robot: An International Journal 44, no. 2 (March 20, 2017): 137–41. http://dx.doi.org/10.1108/ir-01-2017-0012.

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Purpose The purpose of this paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned-entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach The interviewee is Mitchell Weiss, Chief Technology Officer (CTO) for Seegrid Corporation, a manufacturer of stereo vision-guided robots and vehicle control systems. As an accomplished executive of automation and robotics companies, Weiss shares his experiences and industry knowledge, including his first full-time job out of college at Unimation, the world’s first robot company. Findings Weiss received a Bachelor of Science from MIT and a Graduate Certificate in Intellectual Property (IP) from Northeastern University, has taught at Penn State and the University of Pennsylvania and has lectured at MIT. He has served as the Chief Operating Officer at Seegrid Corp.; CTO at Brooks Automation; CTO and Vice President of PRI Automation; President of ProgramMation, Inc.; and Chief Engineer and Co-Founder at United States Robots, Inc. Originality/value Weiss holds 24 patents, is an expert witness in IP litigation, is Vice Chair of ASTM F45 Driverless Automatic Guided Industrial Vehicles and is a member of ANSI/ITSDF B56.5 Safety Standard for Driverless, Automatic Guided Industrial Vehicles and Automated Functions of Manned Industrial Vehicles. He is also one of the co-authors of the 1986 McGraw-Hill book Industrial Robotics: Technology, Programming, and Applications. Weiss has led his high-technology robotic and automation companies to be successful in the installation of worldwide automation systems in semiconductor manufacturing, electronics manufacturing, automotive and warehousing and distribution. His technical achievements in product design, development and production combined with his business expertise in fund-raising, initial public offering and mergers & acquisitions provide companies with a unique, forward-thinking technology roadmap.
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Inoue, Shinichi, Akihisa Urata, Takumi Kodama, Tobias Huwer, Yuya Maruyama, Sho Fujita, Hidenori Shinno, and Hayato Yoshioka. "High-Precision Mobile Robotic Manipulator for Reconfigurable Manufacturing Systems." International Journal of Automation Technology 15, no. 5 (September 5, 2021): 651–60. http://dx.doi.org/10.20965/ijat.2021.p0651.

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The manufacturing industry has identified a new megatrend of mass customization, which is one of the essential goals of Industry 4.0. This megatrend requires the realization of manufacturing that can respond quickly and flexibly to various changing production requirements and ensure the achievement of various quality criteria. However, the manufacturing cannot be realized by conventional manufacturing systems in which reconfigurations need to be performed by skilled engineers. This paper proposes a new reconfigurable manufacturing system concept based on an ultra-flexible transfer system. Particularly, an autonomous mobile robotic manipulator, consisting of a high-performance automated guided vehicle module and a collaborative robotic manipulator module, represents a key component of the system concept. In this context, the focus is on the cooperative control between the modules of the autonomous mobile manipulator, which is essential for high-precision processes (e.g., machining, assembly, measurement, inspection), and its wide operating area. The experimental results confirm that the proposed cooperative control improves the positioning performance of the autonomous mobile manipulator, including the time required for positioning and the positioning accuracy.
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Nguyen Duc, Duy, Thong Tran Huu, and Narameth Nananukul. "A Dynamic Route-Planning System Based on Industry 4.0 Technology." Algorithms 13, no. 12 (November 25, 2020): 308. http://dx.doi.org/10.3390/a13120308.

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Due to the availability of Industry 4.0 technology, the application of big data analytics to automated systems is possible. The distribution of products between warehouses or within a warehouse is an area that can benefit from automation based on Industry 4.0 technology. In this paper, the focus was on developing a dynamic route-planning system for automated guided vehicles within a warehouse. A dynamic routing problem with real-time obstacles was considered in this research. A key problem in this research area is the lack of a real-time route-planning algorithm that is suitable for the implementation on automated guided vehicles with limited computing resources. An optimization model, as well as machine learning methodologies for determining an operational route for the problem, is proposed. An internal layout of the warehouse of a large consumer product distributor was used to test the performance of the methodologies. A simulation environment based on Gazebo was developed and used for testing the implementation of the route-planning system. Computational results show that the proposed machine learning methodologies were able to generate routes with testing accuracy of up to 98% for a practical internal layout of a warehouse with 18 storage racks and 67 path segments. Managerial insights into how the machine learning configuration affects the prediction accuracy are also provided.
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Farooq, Basit, Jinsong Bao, and Qingwen Ma. "Flow-Shop Predictive Modeling for Multi-Automated Guided Vehicles Scheduling in Smart Spinning Cyber–Physical Production Systems." Electronics 9, no. 5 (May 13, 2020): 799. http://dx.doi.org/10.3390/electronics9050799.

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Pointed at a problem that leads to the high complexity of the production management tasks in the multi-stage spinning industry, mixed flow batch production is often the case in response to a customer’s personalized demands. Manual handling cans have a large number of tasks, and there is a long turnover period in their semi-finished products. A novel heuristic research was conducted that considered mixed-flow shop scheduling problems with automated guided vehicle (AGV) distribution and path planning to prevent conflict and deadlock by optimizing distribution efficiency and improving the automation degree of can distribution in a draw-out workshop. In this paper, a cross-region shared resource pool and an inter-regional independent resource pool, two AGV predictive scheduling strategies are established for the ring-spinning combing process. Besides completion time, AGV utilization rate and unit AGV time also analyzed with the bottleneck process of the production line. The results of the optimal computational experiment prove that a draw frame equipped with multi-AGV and coordinated scheduling optimization will significantly improve the efficiency of can distribution. Flow-shop predictive modeling for multi-AGV resources is scarce in the literature, even though this modeling also produces, for each AGV, a control mode and, if essential, a preventive maintenance plan.
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Foit, Krzysztof, Grzegorz Gołda, and Adrian Kampa. "Integration and Evaluation of Intra-Logistics Processes in Flexible Production Systems Based on OEE Metrics, with the Use of Computer Modelling and Simulation of AGVs." Processes 8, no. 12 (December 14, 2020): 1648. http://dx.doi.org/10.3390/pr8121648.

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The article presents the problems connected with the performance evaluation of a flexible production system in the context of designing and integrating production and logistics subsystems. The goal of the performed analysis was to determine the parameters that have the most significant influence on the productivity of the whole system. The possibilities of using automated machine tools, automatic transport vehicles, as well as automated storage systems were pointed out. Moreover, the exemplary models are described, and the framework of simulation research related to the conceptual design of new production systems are indicated. In order to evaluate the system’s productivity, the use of Overall Equipment Efficiency (OEE) metrics was proposed, which is typically used for stationary resources such as machines. This paper aims to prove the hypothesis that the OEE metric can also be used for transport facilities such as Automated Guided Vehicles (AGVs). The developed models include the parameters regarding availability and failure of AGVs as well as production efficiency and quality, which allows the more accurate mapping of manufacturing processes. As the result, the Overall Factory Efficiency (OFE) and Overall Transport Efficiency (OTE) metrics were obtained. The obtained outcomes can be directly related to similar production systems that belong to World Class Manufacturing (WCM) or World Class Logistics (WCL), leading to the in-depth planning of such systems and their further improvement in the context of the Industry 4.0.
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Dissertations / Theses on the topic "Automated guided vehicle systems industry"

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Fithian, Jeff E. "A laser-guided, autonomous automated guided vehicle." Thesis, Virginia Tech, 1993. http://hdl.handle.net/10919/42957.

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The purpose of this research was to determine the feasibility of a laser-based positioning system as a primary navigation method. The system developed for this research consisted of an automated guided vehicle which navigated solely with the use of the laser-based positioning system in real-time. To date, there are no systems which can navigate a pre-defined path using such a positioning system. Some lessons were learned by the researcher, however, concerning the viability of this system in an industrial environment. The system should have had the following advantages over previous systems: 1) Greater range, 2) no prior structuring of environment, 3) real-time navigation, and 4) no reliance on dead-reckoning for navigation.

The results showed that goals two through four had been met and are advantages of this system over current systems. The range of this system is limited, however, but it is believed that the next generation system should have greater range than the system used in this research.


Master of Science
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Dutt, Subir. "Guided vehicle systems : a simulation analysis /." Master's thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-01122010-020040/.

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Uttendorf, Sarah [Verfasser]. "Automated Generation of Roadmaps for Automated Guided Vehicle Systems / Sarah Uttendorf." Garbsen : TEWISS - Technik und Wissen GmbH, 2019. http://d-nb.info/1193515491/34.

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Baxter, Jeremy. "Fuzzy logic control of an automated guided vehicle." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5817/.

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This thesis describes the fuzzy logic based control system for an automated guided vehicle ( AGV ) designed to navigate from one position and orientation to another while avoiding obstacles. A vehicle with an onboard computer system and a beacon based location system has been used to provide experimental confirmation of the methods proposed during this research. A simulation package has been written and used to test control techniques designed for the vehicle. A series of navigation rules based upon the vehicle's current position relative to its goal produce a fuzzy fit vector, the entries in which represent the relative importance of sets defined over all the possible output steering angles. This fuzzy fit vector is operated on by a new technique called rule spreading which ensures that all possible outputs have some activation. An obstacle avoidance controller operates from information about obstacles near to the vehicle. A method has been devised for generating obstacle avoidance sets depending on the size, shape and steering mechanism of a vehicle to enable their definition to accurately reflect the geometry and dynamic performance of the vehicle. Using a set of inhibitive rules the obstacle avoidance system compiles a mask vector which indicates the potential for a collision if each one of the possible output sets is chosen. The fuzzy fit vector is multiplied with the mask vector to produce a combined fit vector representing the relative importance of the output sets considering the demands of both navigation and obstacle avoidance. This is operated on by a newly developed windowing technique which prevents any conflicts produced by this combination leading to an undesirable output. The final fit vector is then defuzzified to give a demand steering angle for the vehicle. A separate fuzzy controller produces a demand velocity. In tests carried out in simulation and on the research vehicle it has been shown that the control system provides a successful guidance and obstacle avoidance scheme for an automated vehicle.
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So, Annie Suet-ying. "Effect of control architectures on automated guided vehicle systems." Thesis, Virginia Tech, 1995. http://hdl.handle.net/10919/45055.

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Automated Guided Vehicle Systems (AGVSs) have been widely adopted by many low to medium manufacturing operations, particularly in Flexible Manufacturing Systems (FMS). The high degree of flexibility and control offered in vehicle routing has made AGVS a proven and viable material handling technology in today's manufacturing systems [Bozer91]. An important aspect in maintaining flexibility in an AGVS is its control architecture. A control architecture provides the backbone of the physical and the informational infrastructure of a system. This research has identified three types of control architectures. They are the centralized, hierarchical, and heterarchical control architectures. When designing an AGVS, most designers do not consider control architecture as a design factor, and do not analyze its effect on the system's performance. The objective of this research is to analyze the effect of control architectures on the relative performance of the AGVS. This research uses simulation to study the effect of control architectures on the AGVS. The simulation model for each control architecture contains two parts -- an AGV controller and a shop floor controller. Both models are programmed in C language. The AGV controller consists of three basic components – vehicle scheduling, vehicle routing, and traffic control. Each of these three components is modeled according to the nature and characteristics of the corresponding control architecture. Two different flow path layouts are considered for the shop floor model. The two layouts are different in size and number of work stations. Performance measures chosen for this study are intended to reflect the responsiveness of the system and the overall system performance under the impact of different control architectures.
Master of Science
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Sen, Anirudha. "A study of free ranging automated guided vehicle systems." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/46543.

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Chan, Chi Kit. "An ultrasonic self-localized automated guided vehicle system /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?IELM%202006%20CHAN.

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Swanepoel, Petrus Johannes. "Omnidirectional image sensing for automated guided vehicle." Thesis, Bloemfontein : Central University of Technology, Free State, 2009. http://hdl.handle.net/11462/39.

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Thesis (M. Tech.) -- Central University of Technology, Free State, 2009
Automated Guided Vehicles (AGVs) have many different design specifications, although they all have certain design features in common, for instance they are designed to follow predetermined paths, and they need to be aware of their surroundings and changes to their surroundings. They are designed to house sensors for navigation and obstacle avoidance. In this study an AGV platform was developed by modifying an electric wheelchair. A serial port interface was developed between a computer and the control unit of the electric wheelchair, which enables the computer to control the movements of the platform. Different sensors were investigated to determine which would be best suited and most effective to avoid collisions. The sensors chosen were mounted on the AGV and a programme was developed to enable the sensors to assist in avoiding obstacles. An imaging device as an additional sensor system for the AGV was investigated. The image produced by a camera and dome mirror was processed into a panoramic image representing an entire 360o view of the AGV‟s surroundings. The reason for this part of the research was to enable the user to make corrections to the AGV‟s path if it became stuck along the track it was following. The entire system was also made completely wireless to improve the flexibility of the AGV‟s applications.
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Norman, Susan K. "Design of a simulation package for automated guided vehicle systems." Ohio : Ohio University, 1985. http://www.ohiolink.edu/etd/view.cgi?ohiou1184071588.

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Wilson, Jeffrey K. "A C-based simulation framework for automated guided vehicle systems." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-02132009-172242/.

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Books on the topic "Automated guided vehicle systems industry"

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Miller, Richard Kendall. Survey on automated guided vehicles systems. Madison, GA: Future Technology Surveys, 1989.

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

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

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International, Conference on Automated Guided Vehicle Systems (3rd 1985 Stockholm Sweden). Automated Guided Vehicle Systems: 15-17 October 1985, Stockholm, Sweden. Kempston: IFS (Conferences) Ltd., 1985.

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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, U.S.A. Bedford: IFS (Conferences), 1986.

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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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Tokyo), International Conference on Automated Guided Vehicle Systems (5th 1987. Proceedings of the 5th international conference on automated guided vehicle systems. Bedford: IFS (Publications), 1987.

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Book chapters on the topic "Automated guided vehicle systems industry"

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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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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, 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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Rhazzaf, Mohamed, and Tawfik Masrour. "Deep Learning Approach for Automated Guided Vehicle System." In Advances in Intelligent Systems and Computing, 227–37. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51186-9_16.

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Fanti, Maria Pia. "Deadlock Free Control in Automated Guided Vehicle Systems." In Concurrency in Dependable Computing, 105–26. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3573-4_6.

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Karak, Surajit, Subhankar Roy, and Anirban Bose. "Automated Guided Vehicle in Material Handling for Industry 4.0 Plants." In Interdisciplinary Research in Technology and Management, 535–38. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003202240-84.

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Conference papers on the topic "Automated guided vehicle systems industry"

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Bore, Dipak, Amit Rana, Nilima Kolhare, and Ulhas Shinde. "Automated Guided Vehicle Using Robot Operating Systems." In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2019. http://dx.doi.org/10.1109/icoei.2019.8862716.

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Lothar Schulze. "The Approach of Automated Guided Vehicle Systems." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.236834.

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Schulze, Lothar, and Alexander Wullner. "The Approach of Automated Guided Vehicle Systems." In 2006 IEEE International Conference on Service Operations and Logistics, and Informatics. IEEE, 2006. http://dx.doi.org/10.1109/soli.2006.328941.

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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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Yan, Rundong, Sarah Dunnett, and Lisa Jackson. "Maintenance Modelling of Complex Automated Guided Vehicle Systems." In 2019 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2019. http://dx.doi.org/10.1109/rams.2019.8769020.

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Qu, Yizhi, Lingxi Li, Yaobin Chen, and Yaping Dai. "Event sequence reconstruction in automated guided vehicle systems." In 2010 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2010). IEEE, 2010. http://dx.doi.org/10.1109/icves.2010.5550933.

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Zhaowei Miao, Guojun Ji, Rui Qiang, and Fan Wang. "The automated guided vehicle problem in logistics operations." In 2008 International Conference on Service Systems and Service Management (ICSSSM 2008). IEEE, 2008. http://dx.doi.org/10.1109/icsssm.2008.4598470.

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Kar, Aniket K., Narendra K. Dhar, S. S. Farhad Nawaz, Rashi Chandola, and Nishchal K. Verma. "Automated guided vehicle navigation with obstacle avoidance in normal and guided environments." In 2016 11th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2016. http://dx.doi.org/10.1109/iciinfs.2016.8262911.

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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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Abstract:
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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Schulze, L., S. Behling, S. Buhrs, Hichem Arioui, Rochdi Merzouki, and Hadj Ahmed Abbassi. "Intelligent Transportation Systems: Automated Guided Vehicle Systems in Changing Logistics Environments." In INTELLIGENT SYSTEMS AND AUTOMATION: 1st Mediterranean Conference on Intelligent Systems and Automation (CISA 08). AIP, 2008. http://dx.doi.org/10.1063/1.2953041.

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