Special Issue "Feature Papers 2020"

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: 31 August 2020.

Special Issue Editor

Prof. Dr. Huosheng Hu
Website
Guest Editor
School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, UK
Interests: robotics; embedded systems; mechatronics; advanced manufacturing; multimodal human-machine interfaces; wearable sensors and systems; sensor integration and data fusion algorithms; biomedical signal processing; e-health; medical and surgical robotics; AI applications; intelligent control and learning algorithms; cooperative robots in search and rescue; networked sensors, systems, and robots
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will be a collection of "Feature Papers" discussing new knowledge or new cutting-edge developments in the science of robotics. We are looking for high-quality papers that contain either cutting-edge research results or comprehensive reviews. The accepted papers will be published free of charge in open access. Authors will be the Editorial Board Members and the researchers invited by the Editorial Office on behalf of Editor-in-Chief. Potential topics include but are not limited to the following items:

  • Intelligent robotics, mechatronics and biomimetics` ;
  • Novel and biologically inspired robotics;
  • Modelling, identification and control of robotic systems;
  • Biomedical, rehabilitation and surgical robotics;
  • Exoskeletons, prosthetics and artificial organs;
  • AI, neural networks and fuzzy logic in robotics;
  • Multimodal human–machine interactions.

Prof. Dr. Huosheng Hu
Guest Editor

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. Robotics is an international peer-reviewed open access quarterly 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 1000 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

  • AI applications in robotics
  • Biologically inspired robots
  • Human–machine interactions
  • Intelligent robots and mechatronics
  • Wearable robots and prosthetics

Published Papers (2 papers)

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Open AccessArticle
User Affect Elicitation with a Socially Emotional Robot
Robotics 2020, 9(2), 44; https://doi.org/10.3390/robotics9020044 - 03 Jun 2020
Abstract
To effectively communicate with people, social robots must be capable of detecting, interpreting, and responding to human affect during human–robot interactions (HRIs). In order to accurately detect user affect during HRIs, affect elicitation techniques need to be developed to create and train appropriate [...] Read more.
To effectively communicate with people, social robots must be capable of detecting, interpreting, and responding to human affect during human–robot interactions (HRIs). In order to accurately detect user affect during HRIs, affect elicitation techniques need to be developed to create and train appropriate affect detection models. In this paper, we present such a novel affect elicitation and detection method for social robots in HRIs. Non-verbal emotional behaviors of the social robot were designed to elicit user affect, which was directly measured through electroencephalography (EEG) signals. HRI experiments with both younger and older adults were conducted to evaluate our affect elicitation technique and compare the two types of affect detection models we developed and trained utilizing multilayer perceptron neural networks (NNs) and support vector machines (SVMs). The results showed that; on average, the self-reported valence and arousal were consistent with the intended elicited affect. Furthermore, it was also noted that the EEG data obtained could be used to train affect detection models with the NN models achieving higher classification rates Full article
(This article belongs to the Special Issue Feature Papers 2020)
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Review

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Open AccessReview
A Survey on Mechanical Solutions for Hybrid Mobile Robots
Robotics 2020, 9(2), 32; https://doi.org/10.3390/robotics9020032 - 08 May 2020
Abstract
This paper presents a survey on mobile robots as systems that can move in different environments with walking, flying and swimming up to solutions that combine those capabilities. The peculiarities of these mobile robots are analyzed with significant examples as references and a [...] Read more.
This paper presents a survey on mobile robots as systems that can move in different environments with walking, flying and swimming up to solutions that combine those capabilities. The peculiarities of these mobile robots are analyzed with significant examples as references and a specific case study is presented as from the direct experiences of the authors for the robotic platform HeritageBot, in applications within the frame of Cultural Heritage. The hybrid design of mobile robots is explained as integration of different technologies to achieve robotic systems with full mobility. Full article
(This article belongs to the Special Issue Feature Papers 2020)
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