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Special Issue "Human-Robot Interaction Applications in Internet of Things (IoT) Era"

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

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Dr. Alexandros T. Tzallas
Website SciProfiles
Guest Editor
School of Informatics and Telecommunications, Department of Informatics and Telecommunications, University of Ioannina, Kostakioi, GR-47100, Arta, Greece
Interests: biomedical signal processing; EEG signal processing; brain computer interface systems; wearable devices; image processing; decision support and medical expert systems; biomedical engineering
Special Issues and Collections in MDPI journals
Dr. Nikolaos Giannakeas
Website
Guest Editor
Assistant Professor, Department of Informatics & Telecommunications, School of Informatics & Telecommunications, University of Ioannina, Kostakioi, GR-47100, Arta, Greece
Interests: Biomedical Engineering; BioinformaticsImage & Signal Processing; Machine Learning
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

We cordially invite you to participate in a Special Issue on “Human–Robot Interaction Applications in the Internet of Things (IoT) Era”. This Special Issue will focus on the ongoing evolution of Internet of Things (IoT) together with the rapid dispersal of robots in many activities of daily life. Potential topics for this Special Issue may include, but are not limited to:

•      Ambient intelligence;
•      Smart environments (cities, transport, homes, farms, and health facilities);
•      Smart vehicles;
•      IoT for criminal activities;
•      Internet of medical things;
•      IoT for eHealth, elderly, and aging;
•      IoT sensors for smart eHealth devices;
•      Hybrid for Internet of Vehicles;
•      Robot ecology;
•      Brain–Computer interface applications in robotics control;
•      Building and home automation;
•      Drone–IoT integrated networks;
•      Cyber-physical systems;
•      Human–Robot interfaces;
•      Wireless body area and sensor networks;
•      Military IoT RFID radio frequency identification;
•      Mobile robotics with hybrid sensors and deep learning;
•      Low-power and lossy networks;
•      IoT-aided robotics applications and IoT-enabled flying ad hoc networks in smart agriculture;
•      Distributed artificial intelligence.

Tentative authors are invited to submit unpublished research, review, or short communication articles. The submitted articles should include novel applied research and pilot studies specifically targeting IoT-aided robotics applications.

Dr. Alexandros Tzallas
Dr. Nikolaos Giannakeas
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

  • Internet of Robotic Things
  • smart environments
  • brain–computer interfaces
  • artificial intelligence and robotics
  • autonomous sensor networks
  • smart wearable IoT devices
  • human–computer interaction
  • environmental monitoring and sensing
  • applied IoT data analytics
  • networked robotics

Published Papers (2 papers)

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Research

Open AccessArticle
Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback
Sensors 2020, 20(6), 1620; https://doi.org/10.3390/s20061620 - 14 Mar 2020
Cited by 1
Abstract
Optimizing neurofeedback (NF) and brain–computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user’s control ability from neurophysiological or psychological measures. In comparison, how context factors [...] Read more.
Optimizing neurofeedback (NF) and brain–computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user’s control ability from neurophysiological or psychological measures. In comparison, how context factors influence NF/BCI performance is largely unexplored. We here investigate whether a competitive multi-user condition leads to better NF/BCI performance than a single-user condition. We implemented a foot motor imagery (MI) NF with mobile electroencephalography (EEG). Twenty-five healthy, young participants steered a humanoid robot in a single-user condition and in a competitive multi-user race condition using a second humanoid robot and a pseudo competitor. NF was based on 8–30 Hz relative event-related desynchronization (ERD) over sensorimotor areas. There was no significant difference between the ERD during the competitive multi-user condition and the single-user condition but considerable inter-individual differences regarding which condition yielded a stronger ERD. Notably, the stronger condition could be predicted from the participants’ MI-induced ERD obtained before the NF blocks. Our findings may contribute to enhance the performance of NF/BCI implementations and highlight the necessity of individualizing context factors. Full article
(This article belongs to the Special Issue Human-Robot Interaction Applications in Internet of Things (IoT) Era)
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Open AccessArticle
Towards IoT-Aided Human–Robot Interaction Using NEP and ROS: A Platform-Independent, Accessible and Distributed Approach
Sensors 2020, 20(5), 1500; https://doi.org/10.3390/s20051500 - 09 Mar 2020
Cited by 1
Abstract
This article presents the novel Python, C# and JavaScript libraries of Node Primitives (NEP), a high-level, open, distributed, and component-based framework designed to enable easy development of cross-platform software architectures. NEP is built on top of low-level, high-performance and robust sockets libraries (ZeroMQ [...] Read more.
This article presents the novel Python, C# and JavaScript libraries of Node Primitives (NEP), a high-level, open, distributed, and component-based framework designed to enable easy development of cross-platform software architectures. NEP is built on top of low-level, high-performance and robust sockets libraries (ZeroMQ and Nanomsg) and robot middlewares (ROS 1 and ROS 2). This enables platform-independent development of Human–Robot Interaction (HRI) software architectures. We show minimal code examples for enabling Publish/Subscribe communication between Internet of Things (IoT) and Robotics modules. Two user cases performed outside laboratories are briefly described in order to prove the technological feasibility of NEP for developing real-world applications. The first user case briefly shows the potential of using NEP for enabling the creation of End-User Development (EUD) interfaces for IoT-aided Human–Robot Interaction. The second user case briefly describes a software architecture integrating state-of-art sensory devices, deep learning perceptual modules, and a ROS -based humanoid robot to enable IoT-aided HRI in a public space. Finally, a comparative study showed better latency results of NEP over a popular state-of-art tool (ROS using rosbridge) for connecting different nodes executed in local-host and local area network (LAN). Full article
(This article belongs to the Special Issue Human-Robot Interaction Applications in Internet of Things (IoT) Era)
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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: Towards IoT-aided Human-Robot Interaction using NEP and ROS, a Platform-Independent, Accessible and Distributed Approach
 
Author: Luis Enrique Coronado
 
Abstract:This article presents the novel Python, C\# and JavaScript libraries of NEP, a high-level, open, distributed, and component-based framework for building cross-platform software architectures. We show minimal code examples for enabling Publish/Subscribe communication between Internet of Things (IoT) and robot software modules. We also prove the technological feasibility and potential of NEP for Human-Robot Interaction (HRI) in two examples of real-world applications. NEP is built on top of low-level, high-performance and robust sockets libraries (ZeroMQ and Nanomsg) and robot middlewares (ROS 1 and ROS 2). This enables platform-independent development of IoT-aided robot software architectures. 
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