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Mobile Robots and Autonomous Vehicles with Clean and Cognitive Mobility

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 2025 | Viewed by 668

Special Issue Editors


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Guest Editor
1. Vice-Presidency of Research, Universidad del Caribe – UNICARIBE, Santo Domingo 11105, Dominican Republic
2. Escuela Superior Politecnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 Vía Perimetral, Guayaquil 090902, Ecuador
Interests: vehicle dynamic control; automotive control; shock and vibrations; active control
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
Interests: optimal and robust control; process identification and design of control structures
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey 64849, Mexico
Interests: optimal and robust control; process identification and design of control structures
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Engineering and Sciences, Tecnologico de Monterrey, Mexico City 14380, Mexico
Interests: regenerative shock absorbers; belt-drive systems; electric and hybrid powertrain; magnetic levitation; power actuators
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Engineering, University of the Incarnate Word, San Antonio, TX 78209, USA
Interests: unmanned aerial vehicles

Special Issue Information

Dear Colleagues,

The Special Issue titled "Mobile Robots and Autonomous Vehicles with Clean and Cognitive Mobility" explores the cutting-edge technology trends and challenges in robotics and autonomous vehicles, focusing on electrification and energy-saving strategies. This Special Issue delves into the interdisciplinary nature of mobile robotics and self-driving cars, addressing navigation and perception, control systems, human–robot interaction, and energy-efficient design. Contributions include, but are not limited to, the following: theoretical frameworks, novel algorithms, experimental studies, and real-world applications. It also aims to shed light on the latest trends, innovations, and societal implications. Integrating discussions on electrification and energy-saving measures, this Special Issue seeks to promote sustainable practices in developing and deploying robotic systems, paving the way towards greener and more environmentally friendly mobility solutions.

Prof. Dr. Ricardo A. Ramirez-Mendoza
Prof. Dr. David Sotelo
Prof. Dr. Carlos Sotelo
Prof. Dr. Renato Galluzzi
Prof. Dr. Nicola Amati
Dr. Michael T. Frye
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 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 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. 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

  • mobile robotics
  • autonomous vehicles
  • cognitive mobility
  • control systems and obstacle avoidance control
  • electrification

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Published Papers (1 paper)

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Research

28 pages, 1764 KiB  
Article
A Generative Model Approach for LiDAR-Based Classification and Ego Vehicle Localization Using Dynamic Bayesian Networks
by Muhammad Adnan, Pamela Zontone, David Martín Gómez, Lucio Marcenaro and Carlo Regazzoni
Appl. Sci. 2025, 15(9), 5181; https://doi.org/10.3390/app15095181 - 7 May 2025
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Abstract
Our work presents a robust framework for classifying static and dynamic tracks and localizing an ego vehicle in dynamic environments using LiDAR data. Our methodology leverages generative models, specifically Dynamic Bayesian Networks (DBNs), interaction dictionaries, and a Markov Jump Particle Filter (MJPF), to [...] Read more.
Our work presents a robust framework for classifying static and dynamic tracks and localizing an ego vehicle in dynamic environments using LiDAR data. Our methodology leverages generative models, specifically Dynamic Bayesian Networks (DBNs), interaction dictionaries, and a Markov Jump Particle Filter (MJPF), to accurately classify objects within LiDAR point clouds and localize the ego vehicle without relying on external odometry data during testing. The classification phase effectively distinguishes between static and dynamic objects with high accuracy, achieving an F1 score of 91%. The localization phase utilizes a combined dictionary approach, integrating multiple static landmarks to improve robustness, particularly during simultaneous multi-track observations and no-observation intervals. Experimental results validate the efficacy of our proposed approach in enhancing localization accuracy and maintaining consistency in diverse scenarios Full article
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