Coordination and control of AGVs

Coordination and control of AGVs 2018-12-28T17:34:01+00:00

Project Description

Abstract

Automated warehouse systems are becoming increasingly popular, in the last years. Along these lines, researches on the coordination of the fleet of automated guided vehicles (AGVs), as a solution for addressing the problems of production efficiency and flexibility, are becoming more and more important.

Our work mainly focuses on methodologies for modeling the traffic of fleets of AGVs. Our approach consists in considering the whole system to improve the global performance and not to focus only on a single aspect of the multi-robot system (e.g., navigation algorithms, path planning, roadmap, etc.). In fact, optimizing a local cost function is not sufficient for maximizing the global performance. The objective is then that of defining advanced coordination strategies, for obtaining high performances for the overall system.

This is achieved considering, in a holistic manner, all the aspects that mainly influence the performance of AGV systems, namely:

  1. Traffic modeling
    We are working on the development of methodologies based on which, knowing the current position of each AGV in a warehouse, it is possible to predict, in a reliable manner, the future traffic conditions
  2. Task allocation
    AGVs are used for solving transportation tasks, that is moving goods from one location to another. The problem is that of defining which AGV needs to perform which transportation task. We are solving this problem explicitly including the traffic model, to maximize the overall efficiency.
  3. Roadmap design
    AGVs are constrained to move along a roadmap, that is typically manually designed by experts. We are developing strategies for automating such process.

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People

LORENZO SABATTINI
LORENZO SABATTINIAssociate Professor
lorenzo.sabattini@unimore.it
Tel.: +39 052252 3528/2666

My main research interests are in the field of multi-robot systems and decentralized control. In particular, I’m working on coordination of multi-robot systems, decentralized…

CRISTIAN SECCHI
CRISTIAN SECCHIAssociate Professor
cristian.secchi@unimore.it
Tel.: +39 0522 522235

Cristian Secchi was born on February 4th, 1975. He graduated in computer science engineering, with majors in robotics and automation, at the University of Bologna (I) on July…

CESARE FANTUZZI
CESARE FANTUZZIFull Professor
cesare.fantuzzi@unimore.it
Phone: +39 0522 522 213

Cesare has over 25 years of experience in the area of industrial automation and robotics, with a solid scientific background certified by over 200 publications in leading …

Valerio Digani

Selected publications

2017

Beinschob, P; Meyer, M; Reinke, C; Digani, V; Secchi, C; Sabattini, L

Semi-automated map creation for fast deployment of AGV fleets in modern logistics Journal Article

Robotics and Autonomous Systems, 87 , pp. 281–295, 2017.

Links | BibTeX

2016

Digani, V; Sabattini, L; Secchi, C

A Probabilistic Eulerian Traffic Model for the Coordination of Multiple AGVs in Automatic Warehouses Journal Article

IEEE Robotics and Automation Letters, 1 (1), pp. 26–32, 2016.

Links | BibTeX

Sabattini, L; Digani, V; Secchi, C; Fantuzzi, C

Hierarchical coordination strategy for multi-AGV systems based on dynamic geodesic environment partitioning Conference

Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, IEEE 2016.

Links | BibTeX

2015

Digani, V; Sabattini, L; Secchi, C; Fantuzzi, C

Ensemble Coordination Approach in Multi-AGV Systems Applied to Industrial Warehouses Journal Article

IEEE Transactions on Automation Science and Engineering, 12 (3), pp. 922-934, 2015, (cited By 8).

Links | BibTeX

Project News

Collaborations

system logistics

Funded project(s)

PAN-Robots (European Project, FP7, 2012-2015)
Trafcon (Echord experiment, FP7, 2010-2011)

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