applsci-logo

Journal Browser

Journal Browser

Mechatronics, Automation and Robotics Systems: Design, Development and Optimization

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

Deadline for manuscript submissions: 31 August 2025 | Viewed by 3247

Special Issue Editors


E-Mail Website
Guest Editor
Associate Professor, Department of Mechatronics and Precision Mechanics, Polytechnic University of Bucharest, 060042 Bucharest, Romania
Interests: mechanical engineering; mechatronics; mechanics

E-Mail Website
Guest Editor
Mechanical Engineering Department, MEtRICs Research Center, University of Minho, 4800-058 Guimarães, Portugal
Interests: cyber-physical systems; dependable controllers for dependable mechatronic systems; mechatronic systems design for medical/biomedical applications, wellbeing and/or rehabilitation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As the world faces new challenges, technology provides novel or improved solutions to emerging problems, enabling future developments in science and technology. In a dynamic world with new trends and fast technological advancements, there is a need for complex mechatronics and robotic systems that work with automated devices and perform multiple tasks based on predefined or adaptive computer applications. Robotic process automation streamlines workflows, which makes the mechanical systems flexible and more productive. Complex mechatronics, automation, and robotic systems have broad applications in various fields such as nanotechnology, chemical, electrical, energy, building, biotechnology, pharmaceutical, medicine, automotive, hydromechanics, transport, mining, marine, aircraft, military industries, and manufacturing and service (e.g., process control via complex interconnected systems).

This Special Issue collects contributions from scientists from around the world, in the form of original papers or substantial review articles (concerning system modeling, analysis, design, prototyping, automatic control, modern production techniques, and fabrication) exploring cutting-edge research in the field of complex mechatronics, automation, and robotics systems with great economic/technological impacts, which will be fundamental for future applications.

Dr. Victor Constantin
Dr. Jose Machado
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

  • artificial intelligence
  • automation and control systems
  • autonomous systems
  • collaborative robots
  • control technology
  • cyber–physical systems
  • Industry 4.0 and 5.0
  • intelligent automation
  • machine learning
  • mechatronic systems
  • medical applications of mechatronics
  • modelling/simulation/design/optimization
  • nanorobots
  • neural network control
  • robotics
  • unmanned ground and aerial vehicles, drones
  • virtual reality

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 13710 KiB  
Article
Research on Indoor Positioning Systems and Autonomous Mechatronic Systems for Surveillance of Intrabuilding Zones
by Alexandru Vlăsceanu, Mihai Avram, Victor Constantin and Edgar Moraru
Appl. Sci. 2025, 15(2), 918; https://doi.org/10.3390/app15020918 - 17 Jan 2025
Viewed by 949
Abstract
Given increasingly complex threats, adapting surveillance approaches to meet the necessary security levels is essential. The aim of this paper is to develop a surveillance architecture based on autonomous mechatronic systems (mobile robots and drones) designed to secure areas of strategic interest, covering [...] Read more.
Given increasingly complex threats, adapting surveillance approaches to meet the necessary security levels is essential. The aim of this paper is to develop a surveillance architecture based on autonomous mechatronic systems (mobile robots and drones) designed to secure areas of strategic interest, covering a predefined space while providing enhanced security at minimal costs. Designing such a system is challenging due to the need for continuous monitoring, raising issues around autonomy, as well as the design of the navigation and command and control systems. This paper presents key surveillance systems, demonstrating their efficiency and further development potential. This paper discusses the steps taken to enable a team of autonomous mobile robots to monitor a known indoor location by using a specialized positioning system. Steps are taken to deploy, implement, and configure the said indoor global positioning system (GPS). Among those steps, a study is performed by attaching one of the mobile beacons to a linear axis and moving said axis to known points. This position is read by both the axis and the positioning system, and the results are compared. Full article
Show Figures

Figure 1

41 pages, 1344 KiB  
Article
Robust Position Control of a Knee-Joint Rehabilitation Exoskeleton Using a Linear Matrix Inequalities-Based Design Approach
by Sahar Jenhani, Hassène Gritli and Jyotindra Narayan
Appl. Sci. 2025, 15(1), 404; https://doi.org/10.3390/app15010404 - 4 Jan 2025
Cited by 2 | Viewed by 1607
Abstract
This study focuses on developing a control methodology for exoskeleton robots designed for lower limb rehabilitation, specifically addressing the needs of elderly individuals and pediatric therapy. The approach centers on implementing an affine state-feedback controller to effectively regulate and stabilize the knee-joint exoskeleton [...] Read more.
This study focuses on developing a control methodology for exoskeleton robots designed for lower limb rehabilitation, specifically addressing the needs of elderly individuals and pediatric therapy. The approach centers on implementing an affine state-feedback controller to effectively regulate and stabilize the knee-joint exoskeleton robot at a desired position. The robot’s dynamics are nonlinear, accounting for unknown parameters, solid and viscous frictions, and external disturbances. To ensure robust stabilization, the Lyapunov approach is utilized to derive a set of Linear Matrix Inequality (LMI) conditions, guaranteeing the stability of the position error. The derivation of these LMI conditions is grounded in a comprehensive theoretical framework that employs advanced mathematical tools, including the matrix inversion lemma, Young’s inequality, the Schur complement, the S-procedure, and specific congruence transformations. Simulation results are presented to validate the proposed LMI conditions, demonstrating the effectiveness of the control strategy in achieving robust and accurate positioning of the lower limb rehabilitation exoskeleton robotic system. Full article
Show Figures

Figure 1

Back to TopTop