---
_id: '12813'
abstract:
- lang: eng
  text: Autonomous Mobile Robots, as the advanced version of Automated Guided Vehicles
    have received a lot of interest and recognition in recent years. Simultaneous
    Localization and Mapping (SLAM) techniques enable the vehicles to independently
    navigate and map their surroundings so that they can drive autonomously in changing
    and uncharted areas. Due to the increasing importance and contributive development
    of SLAMs for automated guided vehicles and autonomous mobile robots, this study
    seeks to provide an in-depth analysis of well-known SLAM techniques developed
    and applied during the previous ten years. Well-known SLAM algorithms considered
    in this paper include GMapping, Cartographer, LIO-SAM, and so on. They are mainly
    examined and compared from the viewpoints of basic principles, sensor requirements,
    computing complexity, and performance. The aim of this paper is to offer insights
    into various SLAM approaches to researchers, practitioners, and developers in
    the field of automated guided vehicles and autonomous mobile robots, facilitating
    the selection of suitable SLAM methods for specific applications and fostering
    innovation in autonomous navigation and mapping.
author:
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
- first_name: Lothar
  full_name: Schulze, Lothar
  last_name: Schulze
- first_name: Kunal Satish
  full_name: Kalavadia, Kunal Satish
  id: '83202'
  last_name: Kalavadia
citation:
  ama: Li L, Schulze L, Kalavadia KS. <i>Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots</i>. Vol 232. (Longo F, Shen W, Padovano
    A, eds.). Elsevier BV; 2024:2867-2874. doi:<a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>
  apa: Li, L., Schulze, L., &#38; Kalavadia, K. S. (2024). Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots. In F. Longo, W. Shen,
    &#38; A. Padovano (Eds.), <i>5th International Conference on Industry 4.0 and
    Smart Manufacturing (ISM)</i> (Vol. 232, pp. 2867–2874). Elsevier BV. <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>
  bjps: '<b>Li L, Schulze L and Kalavadia KS</b> (2024) <i>Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots</i>, Longo F, Shen
    W and Padovano A (eds). Amsterdam [u.a.]: Elsevier BV.'
  chicago: 'Li, Li, Lothar Schulze, and Kunal Satish Kalavadia. <i>Promising SLAM
    Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Edited
    by F. Longo, W. Shen, and A. Padovano. <i>5th International Conference on Industry
    4.0 and Smart Manufacturing (ISM)</i>. Vol. 232. Procedia Computer Science. Amsterdam
    [u.a.]: Elsevier BV, 2024. <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>.'
  chicago-de: 'Li, Li, Lothar Schulze und Kunal Satish Kalavadia. 2024. <i>Promising
    SLAM Methods for Automated Guided Vehicles and Autonomous Mobile Robots</i>. Hg.
    von F. Longo, W. Shen, und A. Padovano. <i>5th International Conference on Industry
    4.0 and Smart Manufacturing (ISM)</i>. Bd. 232. Procedia Computer Science. Amsterdam
    [u.a.]: Elsevier BV. doi:<a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Li, Li</span> ; <span style="font-variant:small-caps;">Schulze,
    Lothar</span> ; <span style="font-variant:small-caps;">Kalavadia, Kunal Satish</span>
    ; <span style="font-variant:small-caps;">Longo, F.</span> ; <span style="font-variant:small-caps;">Shen,
    W.</span> ; <span style="font-variant:small-caps;">Padovano, A.</span> (Hrsg.):
    <i>Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile
    Robots</i>, <i>Procedia Computer Science</i>. Bd. 232. Amsterdam [u.a.] : Elsevier
    BV, 2024'
  havard: L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated
    Guided Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.
  ieee: 'L. Li, L. Schulze, and K. S. Kalavadia, <i>Promising SLAM Methods for Automated
    Guided Vehicles and Autonomous Mobile Robots</i>, vol. 232. Amsterdam [u.a.]:
    Elsevier BV, 2024, pp. 2867–2874. doi: <a href="https://doi.org/10.1016/j.procs.2024.02.103">10.1016/j.procs.2024.02.103</a>.'
  mla: Li, Li, et al. “Promising SLAM Methods for Automated Guided Vehicles and Autonomous
    Mobile Robots.” <i>5th International Conference on Industry 4.0 and Smart Manufacturing
    (ISM)</i>, edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 2867–74,
    <a href="https://doi.org/10.1016/j.procs.2024.02.103">https://doi.org/10.1016/j.procs.2024.02.103</a>.
  short: L. Li, L. Schulze, K.S. Kalavadia, Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots, Elsevier BV, Amsterdam [u.a.], 2024.
  ufg: '<b>Li, Li/Schulze, Lothar/Kalavadia, Kunal Satish</b>: Promising SLAM Methods
    for Automated Guided Vehicles and Autonomous Mobile Robots, Bd. 232, hg. von Longo,
    F./Shen, W./Padovano, A., Amsterdam [u.a.] 2024 (Procedia Computer Science).'
  van: 'Li L, Schulze L, Kalavadia KS. Promising SLAM Methods for Automated Guided
    Vehicles and Autonomous Mobile Robots. Longo F, Shen W, Padovano A, editors. 5th
    International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam
    [u.a.]: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).'
conference:
  end_date: 2023-11-24
  location: Lisbon, PORTUGAL
  name: 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)
  start_date: 2023-11-22
date_created: 2025-04-17T06:37:23Z
date_updated: 2025-06-25T12:46:47Z
department:
- _id: DEP7000
doi: 10.1016/j.procs.2024.02.103
editor:
- first_name: F.
  full_name: Longo, F.
  last_name: Longo
- first_name: W.
  full_name: Shen, W.
  last_name: Shen
- first_name: A.
  full_name: Padovano, A.
  last_name: Padovano
intvolume: '       232'
keyword:
- Automated Guided Vehicle
- Autonomous Mobile Robot
- Simultaneous Localization and Mapping
- Robot Operating System
language:
- iso: eng
page: 2867-2874
place: Amsterdam [u.a.]
publication: 5th International Conference on Industry 4.0 and Smart Manufacturing
  (ISM)
publication_identifier:
  issn:
  - 1877-0509
publication_status: published
publisher: Elsevier BV
series_title: Procedia Computer Science
status: public
title: Promising SLAM Methods for Automated Guided Vehicles and Autonomous Mobile
  Robots
type: conference_editor_article
user_id: '83781'
volume: 232
year: '2024'
...
---
_id: '593'
abstract:
- lang: eng
  text: Due to the increased individualization of customer demands in the last 20
    years, the production systems are required to be more flexible and scalable. It
    is the samefor the material flow system with automated guided vehicles (AGVs).
    To realize the flexibility and scalability, it is recommended to decentralized
    control the vehicles. As an attempt, a concept of swarm intelligence with Radio
    Frequency Identification (RFID) is proposed and introduced in this article. The
    concept is supposed to be used for automated guided vehicle systems in which objects
    have to be transported from place to place. Therefore the object has to be self-organized
    and has to manage its own transport. In this context the vehicles have to choose
    the most optimal transportation. Swarm intelligence is a topic which deserves
    a high level of attention as a method to realize high flexibility and scalability.
author:
- first_name: Alisa Maria
  full_name: Cantauw, Alisa Maria
  id: '56638'
  last_name: Cantauw
- first_name: Li
  full_name: Li, Li
  id: '58482'
  last_name: Li
citation:
  ama: 'Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle
    Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and
    Management, eds. <i>Department of Production Engineering and Management</i>. Lemgo;
    2016:133-143.'
  apa: Cantauw, A. M., &#38; Li, L. (2016). Application of Swarm Intelligence for
    Automated Guided Vehicle Systems. In F.-J. Villmer, E. Padoano, &#38; Department
    of Production Engineering and Management (Eds.), <i>Department of Production Engineering
    and Management</i> (pp. 133–143). Lemgo.
  bjps: <b>Cantauw AM and Li L</b> (2016) Application of Swarm Intelligence for Automated
    Guided Vehicle Systems. In Villmer F-J, Padoano E and Department of Production
    Engineering and Management (eds), <i>Department of Production Engineering and
    Management</i>. Lemgo, pp. 133–143.
  chicago: Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for
    Automated Guided Vehicle Systems.” In <i>Department of Production Engineering
    and Management</i>, edited by Franz-Josef Villmer, Elio Padoano, and Department
    of Production Engineering and Management, 133–43. Lemgo, 2016.
  chicago-de: 'Cantauw, Alisa Maria und Li Li. 2016. Application of Swarm Intelligence
    for Automated Guided Vehicle Systems. In: <i>Department of Production Engineering
    and Management</i>, hg. von Franz-Josef Villmer, Elio Padoano, und Department
    of Production Engineering and Management, 133–143. Lemgo.'
  din1505-2-1: '<span style="font-variant:small-caps;">Cantauw, Alisa Maria</span>
    ; <span style="font-variant:small-caps;">Li, Li</span>: Application of Swarm Intelligence
    for Automated Guided Vehicle Systems. In: <span style="font-variant:small-caps;">Villmer,
    F.-J.</span> ; <span style="font-variant:small-caps;">Padoano, E.</span> ; <span
    style="font-variant:small-caps;">Department of Production Engineering and Management</span>
    (Hrsg.): <i>Department of Production Engineering and Management</i>. Lemgo, 2016,
    S. 133–143'
  havard: 'A.M. Cantauw, L. Li, Application of Swarm Intelligence for Automated Guided
    Vehicle Systems, in: F.-J. Villmer, E. Padoano, Department of Production Engineering
    and Management (Eds.), Department of Production Engineering and Management, Lemgo,
    2016: pp. 133–143.'
  ieee: A. M. Cantauw and L. Li, “Application of Swarm Intelligence for Automated
    Guided Vehicle Systems,” in <i>Department of Production Engineering and Management</i>,
    Lemgo, 2016, no. 1, pp. 133–143.
  mla: Cantauw, Alisa Maria, and Li Li. “Application of Swarm Intelligence for Automated
    Guided Vehicle Systems.” <i>Department of Production Engineering and Management</i>,
    edited by Franz-Josef Villmer et al., no. 1, 2016, pp. 133–43.
  short: 'A.M. Cantauw, L. Li, in: F.-J. Villmer, E. Padoano, Department of Production
    Engineering and Management (Eds.), Department of Production Engineering and Management,
    Lemgo, 2016, pp. 133–143.'
  ufg: '<b>Cantauw, Alisa Maria/Li, Li (2016)</b>: Application of Swarm Intelligence
    for Automated Guided Vehicle Systems, in: Franz-Josef Villmer et. al. (Hgg.):
    <i>Department of Production Engineering and Management</i>, Lemgo, S. 133–143.'
  van: 'Cantauw AM, Li L. Application of Swarm Intelligence for Automated Guided Vehicle
    Systems. In: Villmer F-J, Padoano E, Department of Production Engineering and
    Management, editors. Department of Production Engineering and Management. Lemgo;
    2016. p. 133–43.'
conference:
  end_date: 2016-09-30
  location: Lemgo
  name: Proceedings 6th International Conference
  start_date: 2016-09-29
corporate_editor:
- Department of Production Engineering and Management
- Hochschule Ostwestfalen-Lippe
date_created: 2019-02-18T15:32:10Z
date_updated: 2023-03-15T13:50:03Z
department:
- _id: DEP7000
- _id: DEP1306
editor:
- first_name: Franz-Josef
  full_name: Villmer, Franz-Josef
  last_name: Villmer
- first_name: Elio
  full_name: Padoano, Elio
  last_name: Padoano
issue: '1'
keyword:
- Swarm  intelligence
- Automated  guided  vehicle  system
- RFID
- Internet  of things
- Multi-agent system
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
oa: '1'
page: 133-143
place: Lemgo
publication: Department of Production Engineering and Management
publication_identifier:
  isbn:
  - 978-3-946856-00-9
publication_status: published
related_material:
  link:
  - relation: contains
    url: https://www.hs-owl.de/fileadmin/diman/Veroeffentlichungen/PEM_2016_Proceeding_2016_09_14_Inhaltsnavigation.pdf
status: public
title: Application of Swarm Intelligence for Automated Guided Vehicle Systems
type: conference
user_id: '45673'
year: 2016
...