---
_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'
...