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Special Issue "Smart Sensors for Remotely Operated Robots"

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

Deadline for manuscript submissions: 1 December 2021.

Special Issue Editors

Prof. Dr. Liviu C. Miclea
E-Mail Website
Guest Editor
Faculty of Automation and Computer Science, Department of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400014 Cluj-Napoca, Romania
Interests: cyber-physical systems; multiagent systems; computer aided design
Special Issues and Collections in MDPI journals
Dr. Ovidiu P. Stan
E-Mail Website
Guest Editor
Faculty of Automation and Computer Science, Department of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400014 Cluj-Napoca, Romania
Interests: semantic interoperability; information management in the age of the Internet; cloud-fog-edge; dependable systems
Dr. Vlad Muresan
E-Mail Website
Guest Editor
Faculty of Automation and Computer Science, Department of Automation, Technical University of Cluj-Napoca, Memorandumului 28, 400014 Cluj-Napoca, Romania
Interests: cyber-physical systems; intelligent control; industrial robot plant control; distributed parameter systems
Prof. Dr. Florin Pop
E-Mail Website
Guest Editor
Department of Computer Science and Engineering, University Politehnica of Bucharest / National Institute for Research and Development in Informatics – ICI Bucharest, 060042 Bucharest, Romania
Interests: large-scale distributed systems (design and performance); grid computing and cloud computing; peer-to-peer systems; big data management; data aggregation; information retrieval and ranking techniques; bio-inspired optimization methods
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Robots can be very different, from humanoids to intelligent self-driving cars, or just IoT systems that locally collect and process information from sensors. Each of these robots can communicate with each other if they are close enough or through access points (AP).

Smart sensors use evolving techniques for signal processing, data fusion techniques, smart algorithms and artificial intelligence principles, to increase our understanding of sensor data, improve the integration of sensors, improve the extraction of features and allow smart sensing applications to take measurements and to control different types of robots.

Lately, significant progress has been made in computer technology regarding increased miniaturization, computational power and big data accessibility. These advances are important in making the sensors and sensing modalities both distributed and at edge, in order to provide a dependable environment for remotely operated robots. These features will support a broader variety of functions: multi-sensory data processing and analytics, dynamic control systems approaches and artificial intelligence. These new capabilities will enable disruptive innovation in biomedical robots, independent insect-size drones, independent intelligent environmental perception, safety critical applications and surveillance in real time and beyond.

This Special Issue aims to highlight the progress and latest emerging technology applications for remotely operated robots’ smart sensors in all fields. It will provide the scientific community with a platform for sharing innovations and new ideas about those technologies.

The topics of interest include, but are not limited to:

  • Hardware–software design approaches for smart edge processing
  • Heterogeneous systems-on-chip and architecture for energy-efficient smart edge processing
  • Edge machine-learning architectures dealing with sensor and signal variabilities
  • Neuro-symbolic and brain- and bio-inspired computing paradigms for edge processing
  • IO and peripherals for energy-efficient interfaces in edge-computing systems
  • Edge processing for IoT systems and human–machine interaction
  • Real-time and safety-critical smart edge sensors for industrial IoT
  • Dependability issues for smart sensors
  • Security and privacy for smart sensors
  • Applications: smart city, smart home, environmental monitoring, biomedical, industrial, wearable systems, smart agriculture, etc.

Prof. Dr. Liviu C. Miclea
Dr. Ovidiu P. Stan
Dr. Vlad Muresan
Prof. Dr. Florin Pop
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 2200 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

  • Smart Sensors
  • Remotely Operated Robots
  • Edge Processing
  • Intelligent Control
  • IoT Distributed Smart Sensors
  • Synthetic Data Sensors
  • Collaborative Robots’ Control
  • Industrial Smart Sensors
  • Alternative MEMs Input
  • AAL Robot
  • Dependable Smart Sensors
  • Smart Sensors’ Security

Published Papers (2 papers)

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Research

Article
Method to Increase Dependability in a Cloud-Fog-Edge Environment
Sensors 2021, 21(14), 4714; https://doi.org/10.3390/s21144714 - 09 Jul 2021
Viewed by 361
Abstract
Robots can be very different, from humanoids to intelligent self-driving cars or just IoT systems that collect and process local sensors’ information. This paper presents a way to increase dependability for information exchange and processing in systems with Cloud-Fog-Edge architectures. In an ideal [...] Read more.
Robots can be very different, from humanoids to intelligent self-driving cars or just IoT systems that collect and process local sensors’ information. This paper presents a way to increase dependability for information exchange and processing in systems with Cloud-Fog-Edge architectures. In an ideal interconnected world, the recognized and registered robots must be able to communicate with each other if they are close enough, or through the Fog access points without overloading the Cloud. In essence, the presented work addresses the Edge area and how the devices can communicate in a safe and secure environment using cryptographic methods for structured systems. The presented work emphasizes the importance of security in a system’s dependability and offers a communication mechanism for several robots without overburdening the Cloud. This solution is ideal to be used where various monitoring and control aspects demand extra degrees of safety. The extra private keys employed by this procedure further enhance algorithm complexity, limiting the probability that the method may be broken by brute force or systemic attacks. Full article
(This article belongs to the Special Issue Smart Sensors for Remotely Operated Robots)
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Article
Optical Axons for Electro-Optical Neural Networks
Sensors 2020, 20(21), 6119; https://doi.org/10.3390/s20216119 - 27 Oct 2020
Cited by 1 | Viewed by 826
Abstract
Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform post-processing of the sensor data. The performance of spiking neural networks has been improved [...] Read more.
Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform post-processing of the sensor data. The performance of spiking neural networks has been improved using optical synapses, which offer parallel communications between the distanced neural areas but are sensitive to the intensity variations of the optical signal. For systems with several neuromorphic sensors, which are connected optically to the main unit, the use of optical synapses is not an advantage. To address this, in this paper we propose and experimentally verify optical axons with synapses activated optically using digital signals. The synaptic weights are encoded by the energy of the stimuli, which are then optically transmitted independently. We show that the optical intensity fluctuations and link’s misalignment result in delay in activation of the synapses. For the proposed optical axon, we have demonstrated line of sight transmission over a maximum link length of 190 cm with a delay of 8 μs. Furthermore, we show the axon delay as a function of the illuminance using a fitted model for which the root mean square error (RMS) similarity is 0.95. Full article
(This article belongs to the Special Issue Smart Sensors for Remotely Operated Robots)
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