Special Issue "Simultaneous, Localization and Mapping (SLAM) in Mobile Robots"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 15 February 2020.

Special Issue Editors

Prof. Paul Checchin
E-Mail Website
Guest Editor
Institut Pascal, Université Clermont Auvergne, France.
Interests: SLAM; 3D Mapping; Mobile Robotics; Moving Object Tracking in Extensive Outdoor Environments, LiDAR and Visual Sensors
Dr. Ahmad Kamal Aijazi
E-Mail Website
Guest Editor
Institut Pascal, Université Clermont Auvergne, Aubière, France
Interests: 3D Mapping; mobile robotics; perception sensors; LiDARs; segmentation and classification of 3D point clouds

Special Issue Information

Dear Colleagues,

Nowadays, mobile robots perform complicated tasks that require navigation in complex and dynamic indoor and outdoor environments, without any human input. In order to autonomously navigate, path plan, and perform these tasks efficiently and safely, simultaneous localisation and mapping (SLAM) is essentially required in order to build an environment map, while simultaneously determining the location of the robot in the map.

In recent years, SLAM has received a fair amount of attention from the research community, and as more and more papers are published in this field, one has to ponder whether the SLAM problem has already been solved? Although excellent progress has been made in the understanding and development of the various frameworks used in the SLAM process, this theoretical progress now drives and inspires the robotics community to deploy SLAM in more and more complex environments, which brings new challenges. Where the advancement of perception sensor technologies, such as the advent of 3D LiDARs, and so on, allows for the acquisition of a high level of semantic details, paving the way for new types of semantic SLAM, the higher processing capability has permitted employing more sophisticated machine learning techniques such as convolutional neural networks (CNN) in the SLAM process, however big data, the hard constraints of real-time operation, and robustness still remain a big issue. Despite having estimators that can handle huge numbers of features and trajectory lengths, failures in data association still have a drastic effect, contorting maps and, ultimately, leading to robots losing their way. There is also a need for new methods to evaluate the quality of the maps and the position estimates, and that whether they have the capability to retrospectively repair poor data association decisions. Similarly, operation in dynamic work spaces is another area that requires great attention. Questions such as “Is lifelong learning really needed?” or “How effectively changes in the environment can be detected and incorporated in the mapping process to increase efficiency and performance?” need to be answered. The objective of this Special Issue is, therefore, to develop a deeper understanding of these major conceptual and technical challenges, and to try to explore suitable solutions for SLAM-based mobile robotics.

Topics of interest include (but are not limited to) the following:

  • New algorithms for SLAM (Graph-SLAM, PI-SLAM, β-SLAM, CNN-SLAM, multi-robot or cooperative SLAM, etc.);
  • Semantic SLAM;
  • Sensing technologies for SLAM applications (LiDAR, Radar, 3D Range Sensors, etc.);
  • Development of new SLAM-based applications;
  • 3D reconstruction exploiting SLAM applications for safety, navigation, path-planning, traversability, control, and so on.

Prof. Paul Checchin
Dr. Ahmad Kamal Aijazi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Simultaneous localization and mapping (SLAM)
  • Map building
  • Mobile robotics
  • 3D range sensors
  • Sensor fusion
  • Indoor/outdoor environment mapping

Published Papers

This special issue is now open for submission.
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