Autonomous Robots for Inspection and Maintenance

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Industrial Robots and Automation".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 3587

Special Issue Editor


E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA, USA
Interests: multiphysics system analysis and design; computational and experimental mechanics; structural health monitoring; material characterization; sensor networks; image analysis; Bayesian estimation and control; autonomous systems; cooperative robotics; inverse analysis and optimization

Special Issue Information

Dear Colleagues,

Inspection and maintenance are, by definition, tasks that require careful examination and complex contact operations and are thus human-intensive. In the completion of these tasks by an autonomous robot, the robot must be capable of configuring the details of its environment, detecting and perceiving defects to repair, planning a sequence of tasks and completing them. Since the current challenges of robotic autonomy are still limited to fundamental functions, applications to inspection and maintenance introduces various unexplored topics. For example, robotic mapping for inspection and maintenance pursues local accuracy of a known environment for completion of maintenance tasks, whereas the current mainstream for robotic mapping is directed at the global accuracy of an unknown environment for robot navigation. The maintenance task often requires higher-precision position control and more intensive force control in highly constrained environments.  

This Special Issue, “Autonomous Robots for Inspection and Maintenance”, invites articles addressing problems and solutions characterized for robotic inspection and maintenance. Potential topics include, but are not limited to, the following:

  • High-precision robotic mapping;
  • Semantic mapping and robot cognition;
  • High-precision 3D reconstruction;
  • Defect detection, identification and classification;
  • Complex task planning and scheduling;
  • High-precision mobile manipulation in highly constrained environments;
  • Intensive force control;
  • Long-term autonomy;
  • Human–robot collaboration;
  • Learning from demonstration;
  • End-effectors for inspection and/or maintenance.

Prof. Dr. Tomonari Furukawa
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 submissions that pass pre-check are 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 monthly 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 1800 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.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

18 pages, 101119 KiB  
Article
Assisted Operation of a Robotic Arm Based on Stereo Vision for Positioning near an Explosive Device
by Andres Montoya Angulo, Lizardo Pari Pinto, Erasmo Sulla Espinoza, Yuri Silva Vidal and Elvis Supo Colquehuanca
Robotics 2022, 11(5), 100; https://doi.org/10.3390/robotics11050100 - 21 Sep 2022
Cited by 13 | Viewed by 2976
Abstract
This document presents an assisted operation system of a robotic arm for positioning near an explosive device selected by the user through the visualization of the cameras on the screen. Two non-converging cameras mounted on the robotic arm in camera-in-hand configuration provide the [...] Read more.
This document presents an assisted operation system of a robotic arm for positioning near an explosive device selected by the user through the visualization of the cameras on the screen. Two non-converging cameras mounted on the robotic arm in camera-in-hand configuration provide the three-dimensional (3D) coordinates of the object being tracked, using a 3D reconstruction technique with the help of the continuously adaptive mean shift (CAMSHIFT) algorithm for object tracking and feature matching. The inverse kinematics of the robot is implemented to locate the end effector close to the explosive so that the operator can perform the operation of grabbing the grenade more easily. Inverse kinematics is implemented in its geometric form, thus reducing the computational load. Tests conducted with various explosive devices verified the effectiveness of the system in locating the robotic arm in the desired position. Full article
(This article belongs to the Special Issue Autonomous Robots for Inspection and Maintenance)
Show Figures

Figure 1

Back to TopTop