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Special Issue "Robotics, Sensors and Industry 4.0"

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

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Prof. Dr. Abir Hussain
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Guest Editor
Department of Computer Science, Liverpool John Moores University, Liverpool L33AF, UK
Interests: Data Science, Machine learning, natural language processing, image processing, signal processing, health applications
Special Issues and Collections in MDPI journals
Prof. Dhiya Al-Jumeily
Website
Guest Editor
Liverpool John Moores University, Liverpool L3 5UA, UK
Interests: AI-based clinical decision-making, medical knowledge engineering, human–machine interaction, wearable and intelligent devices and instruments, eSystem engineering
Special Issues and Collections in MDPI journals
Prof. Hissam Tawfik
Website
Guest Editor
Leeds Beckett University, Leeds LS1 3HE, UK
Interests: eHealth, IoT, Time-series prediction, predictive analytics
Special Issues and Collections in MDPI journals
Prof. Panos Liatsis
Website
Guest Editor
Khalifa University, Abu Dhabi - United Arab Emirates
Interests: Image processing, pattern recognition, machine learning, sensor systems
Special Issues and Collections in MDPI journals

Special Issue Information

The 12th International Conference on the Developments in eSystems Engineering (DeSE2019) will continue the success of the previous DeSe conferences. The main theme of DeSE2019 (http://dese.org.uk/developments-in-esystems-engineering-2019/) is Robotics, Sensors, Data Science and Industry 4.0. DeSE2019 will be held from 7–10 October 2019 in Kazan, Russia. It will provide a leading forum for disseminating the latest results in eSystem Development, Robotics, Data Science and Big Data Research, Idustry 4.0,  IoT Development and Applications, Smart City, Smart Health, Smart Living and Smart Home, Health networking, Learning Analytics, Business Intelligence, Cloud Computing. Papers are invited on all aspects of Robotics, Sensors, Data Sciences, Big Data, IoT and IoE.

In addition to the DeSE 2019 papers, other independent submissions are also welcome. Topics of interest include but are not limited to the following:

  • Advanced Robotics
  • Internet of Everything and its Applications
  • Advances in Applications of AI
  • Biomedical Intelligence and Clinical Data Analysis
  • Predictive Models and Analytics Using Artificial Intelligence
  • Bio-Informatics, Health Informatics, and Bio-Computing
  • Computational Intelligence
  • Decision Support Systems
  • Data Mining, Machine Learning and Expert Systems
  • Genetic Algorithms
  • Image Processing and Medical Imaging
  • Novel Data Processing and Analytics, Tools and Systems
  • Big Data Systems, Mining and Management, Tools and Applications
  • Machine Learning, Web-based Decision Making
  • Big Data Algorithms
  • The Use of Artificial Intelligence in Precision Health and Medicine
  • Deep Learning Methods and Techniques
  • eSystems Engineering

Dr. Abir Jaafar Hussain
Prof. Dhiya Al-Jumeily
Prof. Hissam Tawfik
Prof. Panos Liatsis
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 papers will be 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 2000 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

  • Sensors
  • Robotics
  • Big Data and Industry 4.0
  • Applied Artificial Intelligence
  • Machine Learning

Published Papers (5 papers)

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Research

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Open AccessArticle
Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition
Sensors 2020, 20(10), 2872; https://doi.org/10.3390/s20102872 - 19 May 2020
Abstract
Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and [...] Read more.
Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility. Full article
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
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Open AccessArticle
Design of a Hyper-Redundant Robot and Teleoperation Using Mixed Reality for Inspection Tasks
Sensors 2020, 20(8), 2181; https://doi.org/10.3390/s20082181 - 12 Apr 2020
Abstract
Hyper-redundant robots are highly articulated devices that present numerous technical challenges such as their design, control or remote operation. However, they offer superior kinematic skills than traditional robots for multiple applications. This work proposes an original and custom-made design for a discrete and [...] Read more.
Hyper-redundant robots are highly articulated devices that present numerous technical challenges such as their design, control or remote operation. However, they offer superior kinematic skills than traditional robots for multiple applications. This work proposes an original and custom-made design for a discrete and hyper-redundant manipulator. It is comprised of 7 sections actuated by cables and 14 degrees of freedom. It has been optimized to be very robust, accurate and capable of moving payloads with high dexterity. Furthermore, it has been efficiently controlled from the actuators to high-level strategies based on the management of its shape. However, these highly articulated systems often exhibit complex shapes that frustrate their spatial understanding. Immersive technologies emerge as a good solution to remotely and safely teleoperate the presented robot for an inspection task in a hazardous environment. Experimental results validate the proposed robot design and control strategies. As a result, it is concluded that hyper-redundant robots and immersive technologies should play an important role in the near future of automated and remote applications. Full article
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
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Open AccessArticle
Finite-Time Disturbance Observer for Robotic Manipulators
Sensors 2019, 19(8), 1943; https://doi.org/10.3390/s19081943 - 25 Apr 2019
Cited by 2
Abstract
Robotic manipulators may be subject to different types of disturbances such as unknown payloads, unmodeled dynamics, and environment interaction forces. Observing these unknown disturbances in robotic manipulators is fundamental in many robotic applications such as disturbance rejection and sensorless force control. In this [...] Read more.
Robotic manipulators may be subject to different types of disturbances such as unknown payloads, unmodeled dynamics, and environment interaction forces. Observing these unknown disturbances in robotic manipulators is fundamental in many robotic applications such as disturbance rejection and sensorless force control. In this paper, a novel disturbance observer (DOB) is introduced based on the insights from the finite-time observer (FTO) and robot dynamics. Different from the traditional DOBs, this new observer can provide the capability to track the disturbance within a finite time. The performance of the presented observer is verified by two kinds of typical disturbances for a two-link manipulator with a comparison with several existing DOBs. The simulation results show the rapidity and accuracy of the proposed FTO. Full article
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
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Open AccessArticle
An Adaptive Sliding-Mode Iterative Constant-force Control Method for Robotic Belt Grinding Based on a One-Dimensional Force Sensor
Sensors 2019, 19(7), 1635; https://doi.org/10.3390/s19071635 - 05 Apr 2019
Cited by 2
Abstract
To improve the processing quality and efficiency of robotic belt grinding, an adaptive sliding-mode iterative constant-force control method for a 6-DOF robotic belt grinding platform is proposed based on a one-dimension force sensor. In the investigation, first, the relationship between the normal and [...] Read more.
To improve the processing quality and efficiency of robotic belt grinding, an adaptive sliding-mode iterative constant-force control method for a 6-DOF robotic belt grinding platform is proposed based on a one-dimension force sensor. In the investigation, first, the relationship between the normal and the tangential forces of the grinding contact force is revealed, and a simplified grinding force mapping relationship is presented for the application to one-dimension force sensors. Next, the relationship between the deformation and the grinding depth during the grinding is discussed, and a deformation-based dynamic model describing robotic belt grinding is established. Then, aiming at an application scene of robot belt grinding, an adaptive iterative learning method is put forward, which is combined with sliding mode control to overcome the uncertainty of the grinding force and improve the stability of the control system. Finally, some experiments were carried out and the results show that, after ten times iterations, the grinding force fluctuation becomes less than 2N, the mean value, standard deviation and variance of the grinding force error’s absolute value all significantly decrease, and that the surface quality of the machined parts significantly improves. All these demonstrate that the proposed force control method is effective and that the proposed algorithm is fast in convergence and strong in adaptability. Full article
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
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Review

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Open AccessReview
Towards the Exploitation of Physical Compliance in Segmented and Electrically Actuated Robotic Legs: A Review Focused on Elastic Mechanisms
Sensors 2019, 19(24), 5351; https://doi.org/10.3390/s19245351 - 04 Dec 2019
Cited by 1
Abstract
Physical compliance has been increasingly used in robotic legs, due to its advantages in terms of the mechanical regulation of leg mechanics and energetics and the passive response to abrupt external disturbances during locomotion. This article presents a review of the exploitation of [...] Read more.
Physical compliance has been increasingly used in robotic legs, due to its advantages in terms of the mechanical regulation of leg mechanics and energetics and the passive response to abrupt external disturbances during locomotion. This article presents a review of the exploitation of physical compliance in robotic legs. Particular attention has been paid to the segmented, electrically actuated robotic legs, such that a comparable analysis can be provided. The utilization of physical compliance is divided into three main categories, depending on the setting locations and configurations, namely, (1) joint series compliance, (2) joint parallel compliance, and (3) leg distal compliance. With an overview of the representative work related to each category, the corresponding working principles and implementation processes of various physical compliances are explained. After that, we analyze in detail some of the structural characteristics and performance influences of the existing designs, including the realization method, compliance profile, damping design, and quantitative changes in terms of mechanics and energetics. In parallel, the design challenges and possible future works associated with physical compliance in robotic legs are also identified and proposed. This article is expected to provide useful paradigmatic implementations and design guidance for physical compliance for researchers in the construction of novel physically compliant robotic legs. Full article
(This article belongs to the Special Issue Robotics, Sensors and Industry 4.0)
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