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Automated Guided Vehicle

The Experts below are selected from a list of 6576 Experts worldwide ranked by ideXlab platform

M. B.m. De Koster – 1st expert on this subject based on the ideXlab platform

  • a review of design and control of Automated Guided Vehicle systems
    European Journal of Operational Research, 2006
    Co-Authors: Tuan Leanh, M. B.m. De Koster

    Abstract:

    This paper presents a review on design and control of Automated Guided Vehicle systems. We address most key related issues including guide-path design, determining Vehicle requirements, Vehicle scheduling, idle-Vehicle positioning, battery management, Vehicle routing and deadlock resolution. We discuss and classify important models and results from key publications in literature, including often-neglected areas, such as idle-Vehicle positioning and battery management. In addition, we propose a new dispatching-rule classification, a framework for design and control of Automated Guided Vehicle systems, and suggest some fruitful research directions.

  • A review of design and control of Automated Guided Vehicle systems
    European Journal of Operational Research, 2006
    Co-Authors: Tuan Anh, M. B.m. De Koster

    Abstract:

    This paper presents a review on design and control of Automated Guided Vehicle systems. We address most key related issues including guide-path design, determining Vehicle requirements, Vehicle scheduling, idle-Vehicle positioning, battery management, Vehicle routing and deadlock resolution. We discuss and classify important models and results from key publications in literature, including often-neglected areas, such as idle-Vehicle positioning and battery management. In addition, we propose a new dispatching-rule classification, a framework for design and control of Automated Guided Vehicle systems, and suggest some fruitful research directions. © 2005 Elsevier B.V. All rights reserved.

  • a review of design and control of Automated Guided Vehicle systems
    ERIM Report Series Research in Management, 2004
    Co-Authors: Tuan Leanh, M. B.m. De Koster

    Abstract:

    This paper presents a review on design and control of Automated Guided Vehicle systems. We address most key related issues including guide-path design, estimating the number of Vehicles, Vehicle scheduling, idle-Vehicle positioning, battery management, Vehicle routing, and conflict resolution. We discuss and classify important models and results from key publications in literature on Automated Guided Vehicle systems, including often-neglected areas, such as idle-Vehicle positioning and battery management. In addition, we propose a decision framework for design and implementation of Automated Guided Vehicle systems, and suggest some fruitful research directions.

M.p. Fanti – 2nd expert on this subject based on the ideXlab platform

  • Deadlock Free Control in Automated Guided Vehicle Systems
    Concurrency in Dependable Computing, 2020
    Co-Authors: M.p. Fanti

    Abstract:

    Automated Guided Vehicle Systems (AGVSs) are material handling devices playing an important role in modern manufacturing. This paper presents a control strategy to avoid deadlock and collisions in AGVSs. A coloured Petri net modelling method allows a simple synthesis of a real-time closed loop control policy managing the path selection and the movement of Vehicles in the AGVS. The proposed control scheme manages the AGVS traffic by avoiding deadlocks and undesirable situations (restricted deadlocks), which inevitably evolve to a deadlock in the next future.

  • coloured timed petri net model for real time control of Automated Guided Vehicle systems
    International Journal of Production Research, 2004
    Co-Authors: Mariagrazia Dotoli, M.p. Fanti

    Abstract:

    Automated Guided Vehicle systems (AGVS) are material-handling devices representing an efficient and flexible option for products management in Automated manufacturing systems. In AGVS, Vehicles fol…

  • Deadlock avoidance in Automated Guided Vehicle systems
    2001 IEEE ASME International Conference on Advanced Intelligent Mechatronics. Proceedings (Cat. No.01TH8556), 2001
    Co-Authors: M.p. Fanti, B. Turchiano

    Abstract:

    Automated Guided Vehicle systems (AGVSs) are the most flexible means to transport pieces among workstations of an Automated manufacturing system (AMS). The control of such systems must be in charge of avoiding collisions and deadlock conditions. The paper formulates a control scheme to face this problem. In particular, some algorithms are proposed to control in real time path assignments to the Vehicles and their moves from zone to zone in the system. A final discussion compares the proposed approach to other methods offered by the literature.

E.m. Petriu – 3rd expert on this subject based on the ideXlab platform

  • Two-dimensional position recovery for a free-ranging Automated Guided Vehicle
    IEEE Transactions on Instrumentation and Measurement, 1993
    Co-Authors: E.m. Petriu, W.s. Mcmath, S.k. Yeung, N. Trif, T. Bieseman

    Abstract:

    An absolute position recovery method for an Automated Guided Vehicle (AGV) which can move in any direction (free-ranging) on the floor using vision is introduced. The floor is permanently encoded with the terms of a pseudorandom binary array requiring only one bit of code per quantization interval, independent of the desired resolution.

  • Visual position recovery for an Automated Guided Vehicle
    IEEE Transactions on Instrumentation and Measurement, 1992
    Co-Authors: H. Khalfallah, E.m. Petriu, F.c.a. Groen

    Abstract:

    The authors present a visual method which allows an Automated Guided Vehicle to recover its absolute position anywhere on a guide-path represented by a pseudorandom binary sequence whose terms are marked as distinct graphical symbols. An onboard image-processing system recognizes these symbols and finally recovers the pseudorandom code identifying the position.

  • Automated Guided Vehicle with absolute encoded guide-path
    IEEE Transactions on Robotics and Automation, 1991
    Co-Authors: E.m. Petriu

    Abstract:

    An Automated Guided Vehicle (AGV) having the ability to recover its absolute position anywhere on the guide-path is described. It uses an original guide-path encoding technique, based on the properties of pseudorandom binary sequences, resulting in a minimum code complexity of 1 bit per quantization step. An experimental AGV system was built to test the proposed absolute position measurement method and its application for AGV navigation when unexpected obstacles are encountered on the guide-path. The results recommend this technique for implementation as a stand-alone function to cost-effectively upgrade existent optically Guided industrial AGVs.