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Special Issue "Robotic Non-Destructive Testing"

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

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Dr. Carmelo Mineo
Guest Editor
Marie-Curie Research Fellow, Department of Engineering, University of Palermo, Viale delle Scienze, Edificio 8, 90128 Palermo, Italy
Interests: non-destructive testing; ultrasonics; phased array technology; metrology; automated and autonomous robotic inspection systems; instrument interfacing; real-time control; data-driven robotic inspection; adaptive robotic inspections; in-process inspections
Dr. Yashar Javadi
Guest Editor
University of Strathclyde Chancellor’s Fellow (Lecturer), Joint Appointment at Department of Electronic & Electrical Engineering (EEE) and Department of Design, Manufacturing & Engineering Management (DMEM).
Office1 (EEE): Technology and Innovation Centre (Level 7), 99 George Street, Glasgow, G1 1RD, UK
Office 2 (DMEM): James Weir Building (Level 7), 75 Montrose Street, Glasgow, G1 1XJ, UK
Interests: welding technology; NDT; residual stress; additive manufacturing; robotics
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Special Issue Information

Dear Colleagues,

Non-destructive testing (NDT) is notoriously referred to as the wide group of analysis techniques used in research, civil, medical, and industrial sectors to evaluate the properties of materials, components or structures, without causing any damage. NDT is of vital importance to ensure the integrity of critical parts and social safety. Automation offers many benefits for NDT, to cope with increasing demands, including improved reliability and higher inspection speeds. Also, robots enable reaching inspection positions not easily accessible to human operators and remove humans from potentially dangerous environments. However, the perceived complexity and high costs has meant the adoption of automation for NDT has been limited. The seamless integration of industrial robotic arms with sensors, actuators, and software can revolutionize the way automated NDT is performed and conceived. Robotic manipulators have typically been operated by predefined tool-paths generated through off-line path-planning software applications. The recent advancements in electronics, robotics, sensor technology and software pave the way to new developments in automated NDT and data-driven autonomous robotic inspections, in several civil and industrial sectors.

The upcoming technologies are expected to encompass all aspects of networking and compatibility with the Internet of Things and to adopt new manufacturing techniques such as 3D printing and custom manufacturing and assembly of individual components based on the customer’s needs. Moreover, robotic inspections systems are able to acquire huge data volumes. As a result, NDT must be able to adapt to the new trends by introducing new solutions and approaches. The aim of this Special Issue is to attract the latest outcomes of research in the field of robotic NDT. We invite research authors to submit their manuscripts introducing novel developments in one or more of the following aspects:

  • Robotic NDT
  • Robotic enabled sensing
  • Novel integrations of robotic systems for hybrid manufacturing and inspection tasks
  • Transition from automated to autonomous robotic NDT
  • Modelling of robotic NDT approaches, remote inspection and interpretation
  • Real time monitoring of production and structures
  • Management and processing of big data
  • Machine learning, artificial intelligence, image recognition and data mining in NDT

The goal of this Special Issue is to present how NDT is being updated and transformed to address the issues raised by the challenging new frontiers in civil and medical fields and by Industry 4.0, which is the ongoing automation of traditional manufacturing and industrial practices using modern smart technology.

Dr. Carmelo Mineo
Dr. Yashar Javadi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • Robotic non-destructive testing
  • Robotic enabled sensing
  • Remote inspection
  • Adaptive inspection
  • Data interpretation
  • Real time monitoring
  • Data-driven autonomous inspection
  • Data management, Data processing
  • Machine learning, Artificial intelligence, Image recognition

Published Papers (1 paper)

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Open AccessArticle
Optimization Design and Flexible Detection Method of a Surface Adaptation Wall-Climbing Robot with Multisensor Integration for Petrochemical Tanks
Sensors 2020, 20(22), 6651; - 20 Nov 2020
Recently, numerous wall-climbing robots have been developed for petrochemical tank maintenance. However, most of them are difficult to be widely applied due to common problems such as poor adsorption capacity, low facade adaptability, and low detection accuracy. In order to realize automatic precise [...] Read more.
Recently, numerous wall-climbing robots have been developed for petrochemical tank maintenance. However, most of them are difficult to be widely applied due to common problems such as poor adsorption capacity, low facade adaptability, and low detection accuracy. In order to realize automatic precise detection, an innovative wall-climbing robot system was designed. Based on magnetic circuit optimization, a passive adaptive moving mechanism that can adapt to the walls of different curvatures was proposed. In order to improve detection accuracy and efficiency, a flexible detection mechanism combining with a hooke hinge that can realize passive vertical alignment was designed to meet the detection requirements. Through the analysis of mechanical models under different working conditions, a hierarchical control system was established to complete the wall thickness and film thickness detection. The results showed that the robot could move safely and stably on the facade, as well as complete automatic precise detection. Full article
(This article belongs to the Special Issue Robotic Non-Destructive Testing)
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