A simulation and control framework for AGV based transport systems

López, Joaquín; Zalama, Eduardo; Gómez-García-Bermejo, Jaime

doi:10.1016/j.simpat.2021.102430

Cited by 23 publications

(15 citation statements)

References 24 publications

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“…Simulation of real warehouse or manufacturing environment systems has also been taken into account in the literature. For example, A simulation framework designed with ROS Gazebo simulator to simulate transport systems based on automated guided vehicles (AGVs) has been built in [19]. This framework is used for simulations by deploying algorithms and different policies in the control system.…”

Section: Related Workmentioning

confidence: 99%

Towards developing a cyber-physical warehouse system for automated order-picking for online shopping

Alhas¹,

Oruç²,

Usta³

et al. 2022

Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

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In recent years, Cyber-Physical Systems (CPS) have been studied in various application areas. Since there are many robots that need to implement both physical and cyber sides, interact with each other and the environment, and the system has to cope with many faced difficulties, a warehouse system for automated order-picking for online shopping seems to be very suitable for being modeled and implemented as CPS. In this study, the planning and control of mobile robots in a store warehouse is defined from the perspectives of obstacle avoidance, collision detection, and solving the shortest path problem. Accordingly, a simulation environment is designed and a layered CPS development model is proposed. In the simulation environment, both object avoidance and collision detection algorithms are introduced and implemented, different shortest path-finding algorithms are adapted and implemented and their performances are evaluated.

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Section: Related Workmentioning

confidence: 99%

Towards developing a cyber-physical warehouse system for automated order-picking for online shopping

Alhas¹,

Oruç²,

Usta³

et al. 2022

Communication Papers of the 17th Conference on Computer Science and Intelligence Systems

View full text Add to dashboard Cite

show abstract

“…López, Zalama and Gómez-García-Bermejo developed a comprehensive simulation and control framework for AGV based transport systems (López, Zalama, Gómez-García-Bermejo, 2022) [2]. Characteristic for their work is that it builds upon the modular control framework approach.…”

Section: Review Of the Related Literaturementioning

confidence: 99%

“…To a basic degree, some of these considerations were already considered in the initial model, but only in a limited sense, as their complete solution will require additional significant work in the future. Naturally, these problems receive significant attention and are intensively studied in the related literature as well, for example also in [2], [8], [9], [12], [18], [20], [21], [22], [23], [25] and [26].…”

Section: Directionsmentioning

confidence: 99%

“…Zone control strategies are frequently used in the literature. For example, this approach is utilized also in [2], [8], [9], [18], [22], [23], [25], [26], and as mentioned also in [12] in the form of private zones for the vehicles.…”

Section: Collision Avoidance Between the Vehiclesmentioning

confidence: 99%

“…Essentially, the utilized graph defines the lists of possible adjacent Markers that can be directly visited from each vertex (each Marker) without colliding with any static obstacle, also taking into account the necessary turning radiuses. To find the shortest route between the vertices along the graph itself, the current approach utilizes Dijkstra's algorithm, which is one of the more frequently used pathfinding algorithms, both in general and in the case of AGV simulations (it was used in several of the cited literature as well, for example in [1], [2], [3], [20] and [21]). Of course, when strictly considering the previously outlined problem, the solution for it can be achieved in a much simpler way with the utilization of fixed tracks for the AGVs, but the focus of the current research is on the modelling of freely moving AGVs.…”

Section: Introduction Of the Approach Used And The Initial Modelmentioning

confidence: 99%

See 2 more Smart Citations

Application of Freely Moving AGVs in a Discrete Event Simulation Environment: A First Model

Skapinyecz

Landschützer

2022

ALS

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The use of automated guided vehicles (AGVs) in manufacturing systems has become particularly widespread in the latter period, thanks to the intensification of automation and to the adoption of the Industry 4.0 principle. Modern AGVs can also have greater autonomy then before, thanks to the advancement of the related technologies which further improve their applicability in numerous complex settings. In the Industry 4.0 principle, the use of predictive simulations in relation to manufacturing logistics systems also plays an important role, which applies to the modelling of the operation of AGVs as well. In light of these developments, the current paper introduces an initial model with the aim to demonstrate a possible approach for modelling the operation of freely moving AGVs in a discrete event simulation environment. The model is made with Plant Simulation, a widely applied discrete event simulation software. The presented approach opens the door for multiple future research avenues and could also serve as a basis for a further developed general model with wider utilization possibilities.

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Developing an Optimization Model to Determine Fleet Size of Automated Guided Vehicle

Erdogan,

Tasan

2023

Science, Engineering Management and Information Technology

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A simulation and control framework for AGV based transport systems

Cited by 23 publications

References 24 publications

Towards developing a cyber-physical warehouse system for automated order-picking for online shopping

Towards developing a cyber-physical warehouse system for automated order-picking for online shopping

Application of Freely Moving AGVs in a Discrete Event Simulation Environment: A First Model

Developing an Optimization Model to Determine Fleet Size of Automated Guided Vehicle

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