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Advanced Intelligent Robotics and Autonomous Control Systems—Celebrating the 75th Birthday of Professor Imre J. Rudas

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 10 September 2025 | Viewed by 5232

Special Issue Editors

Dr. Tamás Haidegger

E-Mail Website
Guest Editor
1. University Research and Innovation Center (EKIK), Obuda University, Budapest, Hungary
2. School of Computing, Queen’s University in Kingston, Kingston, ON K7L 3N6, UK
Interests: Medical Cyber-Physical Systems; surgical robotics; telerobotics; time-delayed systems; image-guided surgery; surgical data science; digital infection prevention & control; autonomous vehicle safety; agrifood robotics; Internet of Medical Things; technology transfer and innovation management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Levente Adalbert Kovács

E-Mail Website
Guest Editor
1. Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary
2. John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary
Interests: computer science; modeling and control of physiological systems; advanced non-linear control; human-computer interaction; physiological big data analysis
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Péter Galambos

E-Mail Website
Guest Editor
Antal Bejczy Center for Intelligent Robotics, Óbuda University, Bécsi út 96/B, 1034 Budapest, Hungary
Interests: cyber-physical systems; telerobotics; networked control systems; nonlinear and delayed feedback systems and 3D virtual reality-based collaboration; agrifood robotics; Internet of Things (IoT); innovation management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This special issue serves as a testament to Professor Rudas’s enduring influence and serves as a platform for scholars to reflect on his contributions, present cutting-edge research inspired by his work, and envision the future directions of the fields he has helped shape. The articles assembled here represent a diverse array of topics spanning intelligent systems, control theory, artificial intelligence, and more, reflecting the breadth and depth of Professor Rudas’s research interests.

As editors of this special issue, we are deeply grateful to the contributors who generously share their insights and expertise in Sensors. Their contributions not only celebrate Professor Rudas’s achievements but also demonstrate the vibrancy and relevance of the research areas he has excelled.

In the meanwhile, we extend our warmest congratulations to Professor Rudas on this milestone occasion. May this special issue stand as a fitting tribute to his exceptional career, inspiring future generations of researchers to continue pushing the boundaries of knowledge and innovation.

Dr. Tamás Haidegger
Prof. Dr. Levente Kovács
Prof. Dr. Péter Galambos
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. Sensors 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 2600 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

  • intelligent systems and control
  • sensor networks and applications
  • advanced control systems
  • soft computing and fuzzy systems
  • applied artificial intelligence and machine learning
  • cybernetics and systems theory
  • applied information technology in robotics
  • multidisciplinary applications of IoT
  • future perspectives and challenges of sensor technologies

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

Published Papers (4 papers)

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37 pages, 10225 KiB  
Article
Cloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber–Physical Robotic System—Digital Twin Approach
by Georgian Simion, Adrian Filipescu, Dan Ionescu and Adriana Filipescu
Sensors 2025, 25(2), 591; https://doi.org/10.3390/s25020591 - 20 Jan 2025
Viewed by 1100
Abstract
This paper deals with a “digital twin” (DT) approach for processing, reprocessing, and scrapping (P/R/S) technology running on a modular production system (MPS) assisted by a mobile cyber–physical robotic system (MCPRS). The main hardware architecture consists of four line-shaped workstations (WSs), a wheeled [...] Read more.
This paper deals with a “digital twin” (DT) approach for processing, reprocessing, and scrapping (P/R/S) technology running on a modular production system (MPS) assisted by a mobile cyber–physical robotic system (MCPRS). The main hardware architecture consists of four line-shaped workstations (WSs), a wheeled mobile robot (WMR) equipped with a robotic manipulator (RM) and a mobile visual servoing system (MVSS) mounted on the end effector. The system architecture integrates a hierarchical control system where each of the four WSs, in the MPS, is controlled by a Programable Logic Controller (PLC), all connected via Profibus DP to a central PLC. In addition to the connection via Profibus of the four PLCs, related to the WSs, to the main PLC, there are also the connections of other devices to the local networks, LAN Profinet and LAN Ethernet. There are the connections to the Internet, Cloud and Virtual Private Network (VPN) via WAN Ethernet by open platform communication unified architecture (OPC-UA). The overall system follows a DT approach that enables task planning through augmented reality (AR) and uses virtual reality (VR) for visualization through Synchronized Hybrid Petri Net (SHPN) simulation. Timed Petri Nets (TPNs) are used to control the processes within the MPS’s workstations. Continuous Petri Nets (CPNs) handle the movement of the MCPRS. Task planning in AR enables users to interact with the system in real time using AR technology to visualize and plan tasks. SHPN in VR is a combination of TPNs and CPNs used in the virtual representation of the system to synchronize tasks between the MPS and MCPRS. The workpiece (WP) visits stations successively as it is moved along the line for processing. If the processed WP does not pass the quality test, it is taken from the last WS and is transported, by MCPRS, to the first WS where it will be considered for reprocessing or scrapping. Full article
(This article belongs to the Special Issue Advanced Intelligent Robotics and Autonomous Control Systems—Celebrating the 75th Birthday of Professor Imre J. Rudas)
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13 pages, 2064 KiB  
Article
A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference
by József Kuti, Tamás Piricz and Péter Galambos
Sensors 2024, 24(24), 8179; https://doi.org/10.3390/s24248179 - 21 Dec 2024
Viewed by 915
Abstract
This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. The key concept lies in determining the rotational transformations between the robot’s [...] Read more.
This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. The key concept lies in determining the rotational transformations between the robot’s base frame and the sensor’s reference, as well as between the TCP (Tool Center Point) frame and the sensor frame, without requiring precise alignment. Key advantages of the proposed method include its independence from the exact measurement of rotations between the reference instrumentation and the sensor, systematic testing capabilities, and the ability to produce repeatable excitation patterns under controlled conditions. This approach enables automated, high-precision, and comparative evaluation of various orientation sensing devices in a reproducible manner. Moreover, it facilitates efficient calibration and analysis of sensor errors, such as drift, noise, and response delays under various motion conditions. The method’s effectiveness is demonstrated through experimental validation of an Inertial Navigation System module and the SLAM-IMU fusion capabilities of the HTC VIVE VR headset, highlighting its versatility and reliability in addressing the challenges associated with orientation sensor validation. Full article
(This article belongs to the Special Issue Advanced Intelligent Robotics and Autonomous Control Systems—Celebrating the 75th Birthday of Professor Imre J. Rudas)
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17 pages, 32021 KiB  
Article
Design and Evaluation of Augmented Reality-Enhanced Robotic System for Epidural Interventions
by Amir Sayadi, Renzo Cecere, Jake Barralet, Liane S. Feldman and Amir Hooshiar
Sensors 2024, 24(24), 7959; https://doi.org/10.3390/s24247959 - 13 Dec 2024
Viewed by 1164
Abstract
The epidural injection is a medical intervention to inject therapeutics directly into the vicinity of the spinal cord for pain management. Because of its proximity to the spinal cord, imprecise insertion of the needle may result in irreversible damage to the nerves or [...] Read more.
The epidural injection is a medical intervention to inject therapeutics directly into the vicinity of the spinal cord for pain management. Because of its proximity to the spinal cord, imprecise insertion of the needle may result in irreversible damage to the nerves or spinal cord. This study explores enhancing procedural accuracy by integrating a telerobotic system and augmented reality (AR) assistance. Tele-kinesthesia is achieved using a leader–follower integrated system, and stable force feedback is provided using a novel impedance-matching force rendering approach. In this domain, augmented reality employs a magnetic-tracker-based approach for real-time 3D model projection onto the patient’s body, aiming to augment the physician’s visual field and improve needle insertion accuracy. Preliminary results indicate that our AR-enhanced robotic system may reduce the cognitive load and improve the accuracy of ENI, highlighting the promise of AR technologies in complex medical procedures. However, further studies with larger sample sizes and more diverse clinical settings must comprehensively validate these findings. This work lays the groundwork for future research into integrating AR into medical robotics, potentially transforming clinical practices by enhancing procedural safety and efficiency. Full article
(This article belongs to the Special Issue Advanced Intelligent Robotics and Autonomous Control Systems—Celebrating the 75th Birthday of Professor Imre J. Rudas)
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25 pages, 3646 KiB  
Article
Application of Compensation Algorithms to Control the Speed and Course of a Four-Wheeled Mobile Robot
by Gennady Shadrin, Alexander Krasavin, Gaukhar Nazenova, Assel Kussaiyn-Murat, Albina Kadyroldina, Tamás Haidegger and Darya Alontseva
Sensors 2024, 24(22), 7233; https://doi.org/10.3390/s24227233 - 12 Nov 2024
Viewed by 1088
Abstract
This article presents a tuned control algorithm for the speed and course of a four-wheeled automobile-type robot as a single nonlinear object, developed by the analytical approach of compensation for the object’s dynamics and additive effects. The method is based on assessment of [...] Read more.
This article presents a tuned control algorithm for the speed and course of a four-wheeled automobile-type robot as a single nonlinear object, developed by the analytical approach of compensation for the object’s dynamics and additive effects. The method is based on assessment of external effects and as a result new, advanced feedback features may appear in the control system. This approach ensures automatic movement of the object with accuracy up to a given reference filter, which is important for stable and accurate control under various conditions. In the process of the synthesis control algorithm, an inverse mathematical model of the robot was built, and reference filters were developed for a closed-loop control system through external effect channels, providing the possibility of physical implementation of the control algorithm and compensation of external effects through feedback. This combined approach allows us to take into account various effects on the robot and ensure its stable control. The developed algorithm provides control of the robot both when moving forward and backward, which expands the capabilities of maneuvering and planning motion trajectories and is especially important for robots working in confined spaces or requiring precise movement into various directions. The efficiency of the algorithm is demonstrated using a computer simulation of a closed-loop control system under various external effects. It is planned to further develop a digital algorithm for implementation on an onboard microcontroller, in order to use the new algorithm in the overall motion control system of a four-wheeled mobile robot. Full article
(This article belongs to the Special Issue Advanced Intelligent Robotics and Autonomous Control Systems—Celebrating the 75th Birthday of Professor Imre J. Rudas)
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