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Applied Robotics in Mechatronics and Automation

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

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1166

Special Issue Editor


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Guest Editor
Mechanical Engineering Department, College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL, USA
Interests: mechatronics engineering; applied robotics in design and automation; aircraft deicing and health monitoring; renewable energy and energy harvesting; global engineering education and research

Special Issue Information

Dear Colleagues,

Mechatronics and automation technologies significantly rely on the use of sensors, which play a pivotal role in collecting data, enabling precise control, ensuring the safety and efficiency of robotic systems, as well as enhancing the perception, navigation, and interaction capabilities of robots and mechatronic systems.

This Special Issue of Sensors titled ‘Applied Robotics in Mechatronics and Automation’ invites submissions of research articles that focus on the intersection of robotics, mechatronics and automation, highlight the recent advancements in their theoretical as well as practical applications, thereby underscoring the importance of applied robotics and automation technologies in the digital future.

Potential topics include, but are not limited to, robotics, mechatronics, automation, artificial intelligence, sensing technologies, human–machine interaction, industrial applications, autonomous systems, control systems, and machine learning.

Prof. Dr. Yueh-Jaw (YJ) Lin
Guest Editor

Manuscript Submission Information

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Published Papers (1 paper)

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Research

25 pages, 5922 KiB  
Article
GNSS-Based Narrow-Angle UV Camera Targeting: Case Study of a Low-Cost MAD Robot
by Ntmitrii Gyrichidi, Alexey M. Romanov, Oleg V. Trofimov, Stanislav A. Eroshenko, Pavel V. Matrenin and Alexandra I. Khalyasmaa
Sensors 2024, 24(11), 3494; https://doi.org/10.3390/s24113494 - 28 May 2024
Viewed by 639
Abstract
One of the key challenges in Multi-Spectral Automatic Diagnostic (MAD) robot design is the precise targeting of narrow-angle cameras on a specific part of the equipment. The paper shows that a low-cost MAD robot, whose navigation system is based on open-source ArduRover firmware [...] Read more.
One of the key challenges in Multi-Spectral Automatic Diagnostic (MAD) robot design is the precise targeting of narrow-angle cameras on a specific part of the equipment. The paper shows that a low-cost MAD robot, whose navigation system is based on open-source ArduRover firmware and a pair of low-cost Ublox F9P GNSS receivers, can inspect the 8 × 4 degree ultraviolet camera bounding the targeting error within 0.5 degrees. To achieve this result, we propose a new targeting procedure that can be implemented without any modifications in ArduRover firmware and outperforms more expensive solutions based on LiDAR SLAM and UWB. This paper will be interesting to the developers of robotic systems for power equipment inspection because it proposes a simple and effective solution for MAD robots’ camera targeting and provides the first quantitative analysis of the GNSS reception conditions during power equipment inspection. This analysis is based on the experimental results collected during the inspection of the overhead power transmission lines and equipment inspections on the open switchgear of different power plants. Moreover, it includes not only satellite, dilution of precision, and positioning/heading estimation accuracy but also the direct measurements of angular errors that could be achieved on operating power plants using GNSS-only camera targeting. Full article
(This article belongs to the Special Issue Applied Robotics in Mechatronics and Automation)
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