Advanced Sensors Technologies Applied in Mobile Robotics: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 12438
Special Issue Editors
Interests: autonomous mobile robots; motion control; trajectory tracking; path planning; localization; multiagent systems
Special Issues, Collections and Topics in MDPI journals
Interests: autonomous mobile robots; motion planning; motion control; path planning; coverage planning; environment exploration
Special Issues, Collections and Topics in MDPI journals
Interests: control of nonlinear systems; modeling of nonlinear systems; autonomous mobile systems; mobile robotics; motion control; trajectory tracking
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on mobile robotics systems, where we are witnessing a widespread surge in current applications as well as promising future applications that are made possible due to recent technologies in sensors development. Mobile robots are already started to penetrate our homes, modern manufacturing and warehouse systems are hard to imagine without automated guided vehicles, self-driving cars already drive in normal traffic, flying taxies are about to take off and offer new travel experience, drones already have applications in delivery and remote sensing, not to mention applications in agriculture, construction, medical care, surveillance, entertainment, and others where some will also appear in unforeseen ways, all of them offering an emerging market with great potential. Advanced sensor technologies are of crucial importance in mobile robotics—a multidisciplinary research field—for obtaining automated or autonomous operation of mobile robots in these applications. They have a part in every navigation, motion control, action planning, decision making, environment sensing, localization, awareness, object detection, target tracking, or object manipulation.
This Special Issue on advanced sensor technologies welcomes contributions on recent developments in mobile robotics systems and associated research from a theoretic and application perspective. Topics related to mobile robotics include but are not limited to new sensor developments, innovations in theory, algorithms, reviews, sensor applications, sensor processing, sensor fusion, sensor calibration, object tracking, localization, scene recognition, SLAM, control algorithms, navigation, motion control, mobile robotics, and autonomous system design.
Dr. Gregor Klančar
Dr. Marija Seder
Prof. Dr. Sašo Blažič
Guest Editors
Manuscript Submission Information
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Keywords
- mobile robots localization
- SLAM mapping and navigation sensor-based planning motion control sensor
- fusion learning and evolving algorithms in robots collaborative robots multi-robot systems
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Trajectory tracking control for mobile robots under output performance specifications and input saturation constraints
Authors: Trakas Panagiotis, Bechlioulis Charalampos
Affiliation: Department of Electrical and Computer Engineering, University of Patras
Abstract: In this work, the trajectory tracking control problem will be studied for mobile robots. Given certain input saturation constraints the control scheme tries to adapt and establish the best achievable performance specifications. When the reference trajectory exceeds the saturation limitations then a novel adaptive relaxation mechanism will secure stability. Experimental studies will verify the theoretical findings.
Title: Automation of a social robot via voice commands
Authors: PATRICIO OLMEDO MEDRANDA [1] JOSÉ YÉPEZ IDROVO [1] CARLOS FLORES-VÁZQUEZ [1,2] CECILIO ANGULO [2] (corresponding author) DAVID VALLEJO-RAMÍREZ [1]
Affiliation: [1] Universidad Católica de Cuenca, Ecuador [2] Universitat Politècnica de Catalunya, Spain
Abstract: This article examines two virtual assistant systems with conversational AI: one with online voice modulator and another with offline voice modulator. These assistants have the ability to provide useful and practical information to the client in various areas, such as health, tourism, food sales and care. The first system uses three fundamental libraries that allow voice transcription to text, speech synthesis from text and playback of audio files. Besides, the second system uses two fundamental libraries for speech recognition and synthesis. The advantages and drawbacks of each system through human-robot interaction by the user are analysed. It is concluded that choosing the right assistant depends on the specific environment in which it will be used.
Title: Anomaly Detection Methods in Autonomous Robotic Missions
Authors: Shivoh Chirayil Nandakumara, Daniel Mitchell, Mustafa Suphi Erden, David Flynn, Theodore Lim
Affiliation: Heriot-Watt University
Abstract: Since 2015, there has been an increase in articles on anomaly detection in robotic systems, reflecting its growing importance in improving the robustness and reliability of the increasingly utilized utonomous robots. This review paper investigates the literature on the detection of anomalies in Autonomous Robotic Missions (ARMs). It reveals different perspectives on “anomaly” and juxtaposition to fault detection. To reach a consensus, we infer a unified understanding of anomalies that encapsulate their various characteristics observed in ARMs and propose a classification of anomalies in terms of spatial, temporal, and spatiotemporal elements based on their fundamental features. Furthermore, the paper discusses the implications of the proposed unified understanding and classification in ARMs and provides future directions. We envisage a study surrounding the specific use of the term anomaly and its detection methods that could contribute to and accelerate the research and development of a universal anomaly detection system for ARMs.
Title: Data analysis and data visualization of sensor data from an educational mobile robot
Authors: Dorina Plókai 1, Détár Borsa 1,2, Tamás Haidegger 2,3, Enikő Nagy1,*
Affiliation: 1 John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary; [email protected] 2 University Research and Innovation Center (EKIK), Óbuda University, Budapest, Hungary; [email protected] 3 Austrian Center for Medical Innovation and Technology (ACMIT Gmbh), Wiener Neustadt, Austria; [email protected] * Correspondence: [email protected]
Abstract: Analyzing and displaying data from the sensors of mobile robots used for educational purposes is a process of grouping and analyzing the information captured by the robots’ sensors according to different criteria. The data is further processed, either through statistical analysis or machine learning. This data is visualized using visualization tools such as charts and graphs, which help to interpret the data and identify any patterns, trends or discrepancies. This makes it easier to improve the robot's operation, improve its programs or replace sensors. The analysis and visualization of the data will enable more effective training of robots and contribute to the statistical analysis of the measurements, in particular to pinpoint the localization of mobile robots. The main objective is to develop a solution that can process, analyze and visualize sensor data collected by a mobile robot, with a particular focus on statistical analysis and the detection of correlations between data sets.