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Application of Computer Science in Mobile Robots, 3rd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: 20 June 2026 | Viewed by 1461

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

Advancements in artificial intelligence (AI) techniques have attracted research into how they can be used in robotic systems. This Special Issue seeks to provide readers with an overview and applications of computer science and its related technologies such as machine and deep learning and their potential applications in mobile robots. The Special Issue is devoted to original research papers on techniques, applications, and industrial case studies of the design and deployment based on formal methods of robotic systems. The focus includes all aspects of modelling, simulation, testing, and implementation for the validation and verification of robotic systems. We seek high-quality contributions of articles that advance AI along with its related technologies such as natural language processing, robotics, and machine and deep learning. We also welcome papers about the incorporation of these technologies into actual products and services. Visionary papers describing futuristic applications and domain advancements are also encouraged.

Potential topics of interest include, but are not limited to, the following:

  • Artificial intelligence;
  • Machine learning;
  • Deep learning;
  • Neural networks;
  • Expert systems;
  • Pattern recognition;
  • Humanoid robots;
  • Space and underwater robots;
  • Assistive robots;
  • Mobile robots;
  • Autonomous robots;
  • Human–robot interaction;
  • Robotic automation.

Dr. Mónica Ballesta Galdeano
Guest Editor

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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.

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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords

  • deep learning
  • machine learning
  • computer science
  • artificial intelligence
  • mobile robots
  • intelligent systems

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Published Papers (1 paper)

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Research

19 pages, 3022 KB  
Article
Design of a Mobile Assisting Robot for Blind and Elderly People
by María Garrosa, Marco Ceccarelli, Matteo Russo and Bowen Yang
Appl. Sci. 2025, 15(19), 10474; https://doi.org/10.3390/app151910474 - 27 Sep 2025
Viewed by 1329
Abstract
This paper presents the design, development, and experimental evaluation of a hybrid wheel–leg guide robot intended to assist blind and elderly people with mobility tasks indoors and outdoors. The design requirements are derived from an analysis of safety, usability, and affordability needs for [...] Read more.
This paper presents the design, development, and experimental evaluation of a hybrid wheel–leg guide robot intended to assist blind and elderly people with mobility tasks indoors and outdoors. The design requirements are derived from an analysis of safety, usability, and affordability needs for assisting devices. The resulting design consists of a compact platform with two front leg–wheel assemblies and three additional wheels, two of which are motorized, arranged in a triangular configuration that provides stable support and reliable traction. The proposed locomotion system is innovative because existing guide robots typically rely exclusively on either wheels or legs. In contrast, this hybrid configuration combines the energy efficiency of wheeled locomotion with the capability of leg-assisted stepping, enabling improved terrain adaptability. Experiments with a prototype were carried out in indoor environments, including straight-line motion, turning, and obstacle-overcoming tests. The prototype, with a total weight of 1.9 kg and a material cost of 255 euros, maintained stable movement and achieved a 100% success rate for obstacles up to 30 mm, with partial success up to 40 mm. Additional test results indicate an average cruising speed of 0.1 m/s, and a practical endurance of 4.5–5 h. The proposed design aims to contribute to the development of more inclusive, efficient, and user-centered robotic solutions, promoting greater autonomy and quality of life for blind and elderly people. Full article
(This article belongs to the Special Issue Application of Computer Science in Mobile Robots, 3rd Edition)
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