Special Issue "Robot Systems, Networks and Sensing Technologies"

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708).

Deadline for manuscript submissions: closed (30 April 2021).

Special Issue Editors

Dr. Yongcai Wang
E-Mail Website
Guest Editor
Intelligent Network and Optimization Laboratory, School of Information, Renmin University, Beijing 100872, China
Interests: cooperative visual, inertial, and wireless localization of mobile robots; sensor networks
Dr. Thomas Newe
E-Mail Website
Guest Editor
Centre for Robotics and Intelligent Systems, Dept. of Electronic & Computer Engineering, University of Limerick, Limerick V94T9PX, Ireland
Interests: WSN; IoT; IIoT 4.0; security; body area networks; sensor applications; smart sensors; communication security protocols for fixed and wireless networks; embedded system design/programming; machine learning; robotic systems; programming languages; operating systems; formal verification tools and methods
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Special Issue Information

Dear Colleagues,

Autonomous robots, networked robots, and robot sensing technologies have been fast developing in recent years, and they are shaping our future lives. Each robot is not only a complex system, but also a smart agent in a networked environment. A robot is composed of sensing, computing, communicating, and actuating subsystems. Research in networked robot systems covers a broad range of topics.

This Special Issue focuses on robot sensing and networked robot sensing technologies. Each robot works as a smart agent in a dynamic network. They work cooperatively or independently to sense nearby environments. In such an environment, how robots work collaboratively to improve the efficiency and accuracy of environment sensing is a key problem. How the robots collaborate to finish special tasks is also attracting substantial attention.

This Special Issue will collect cutting-edge research results in the area of robot networks, collaborative robot sensing technologies, networked robot systems, etc. Research on the collaboration of robot systems with the IoT and cloud computing systems are also welcome. More specifically, the following listed topics are of particular interest but related works in networked robot sensing systems not specifically mentioned are also welcome:

  • Networked robot systems
  • Collaborative robot sensing systems and algorithms
  • Collaborative anonymously locating and mapping
  • Collaborative robot navigation
  • Robot formation control
  • Robot location and navigation algorithms
  • The collaboration of robots and IoT systems
  • Information fusion algorithms in robot systems
  • Vision, inertial sensing and navigation
  • Data processing in robot sensing systems.

Dr. Yongcai Wang
Dr. Thomas Newe
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. Journal of Sensor and Actuator Networks 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 1600 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

  • robot
  • networks
  • sensing
  • collaborative
  • locating

Published Papers (1 paper)

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Review

Review
Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review
J. Sens. Actuator Netw. 2021, 10(3), 48; https://doi.org/10.3390/jsan10030048 - 13 Jul 2021
Viewed by 659
Abstract
Smart manufacturing and smart factories depend on automation and robotics, whereas human–robot collaboration (HRC) contributes to increasing the effectiveness and productivity of today’s and future factories. Industrial robots especially in HRC settings can be hazardous if safety is not addressed properly. In this [...] Read more.
Smart manufacturing and smart factories depend on automation and robotics, whereas human–robot collaboration (HRC) contributes to increasing the effectiveness and productivity of today’s and future factories. Industrial robots especially in HRC settings can be hazardous if safety is not addressed properly. In this review, we look at the collaboration levels of HRC and what safety actions have been used to address safety. One hundred and ninety-three articles were identified from which, after screening and eligibility stages, 46 articles were used for the extraction stage. Predefined parameters such as: devices, algorithms, collaboration level, safety action, and standards used for HRC were extracted. Despite close human and robot collaboration, 25% of all reviewed studies did not use any safety actions, and more than 50% did not use any standard to address safety issues. This review shows HRC trends and what kind of functionalities are lacking in today’s HRC systems. HRC systems can be a tremendously complex process; therefore, proper safety mechanisms must be addressed at an early stage of development. Full article
(This article belongs to the Special Issue Robot Systems, Networks and Sensing Technologies)
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