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Applied Sciences
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Advances in Robotics-Based Automation Systems – 2nd Volume
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Advances in Robotics-Based Automation Systems – 2nd Volume

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1598

Special Issue Editors

Prof. Dr. Hsiung-Cheng Lin

grade E-Mail Website
Guest Editor
Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Interests: power electronics; neural network; network supervisory system; adaptive filter design; and power harmonics tracking and analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Edward T. Bednarz III

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Wilkes University, Wilkes-Barre, PA 18766, USA
Interests: inverse engineering, design, construction and test in strain gauge-based transducers; mechanical engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Automation systems based on robotics have emerged as a multidisciplinary frontier in science and engineering. Due to their high potential to contribute to breakthroughs in a wide array of areas of technology, advances in robotics-based automation systems are capturing the interest of many researchers from different fields.

Robotics is known as an interdisciplinary technique that integrates mechanical engineering, electronic engineering, software engineering, computer science and other academic fields. It can be used in many areas for lots of specific purposes, such as automation manufacturing processes, dangerous environments, or where humans cannot adapt. During the rapid industrialization progress of recent years, automated systems, integrated with robotics, have led to big achievements beyond mechanization. With considerable progress made in software, hardware, and Industry 4.0 technology, improvements based on robotics automation system and integration can now resolve more complex problems in automatization, product defect detection, unmanned manufacturing, mechatronics, automation measurement and control, etc. Papers based on novel methodologies and implementations are welcome, as are creative and innovative automation system and integrations associated with engineering.

This Special Issue of Applied Sciences on “Advances in Robotics-Based Automation Systems” aims to give an overview of the latest developments in robotic-based integration systems and their roles in different automation application domains in industry. Potential topics of discussion include, but are not limited to, the exploration of new directions of robotics-based science and application technology that enable technological breakthroughs in high-impact areas such as product quality inspection, signal measurement and processing, signal sensing technology, intelligent robotic control, automation system integration, etc.

We invite authors to contribute original research articles and review articles from different subfields of robotics-based automation systems that will contribute to providing an interdisciplinary overview of this fascinating line of research.

Prof. Dr. Hsiung-Cheng Lin
Dr. Edward T. Bednarz III
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 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. Applied Sciences 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 2400 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

  • automatization
  • product defect detection
  • unmanned manufacturing
  • mechatronics
  • automation measurement and control

Published Papers (2 papers)

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Research

16 pages, 8057 KiB  
Article
The Developmentof Software to Automate the Laser Welding of a Liquefied Natural Gas Cargo Tank Using a Mobile Manipulator
by Taeyong Choi, Jongwoo Park, Jeongae Bak, Dongil Park, Hyunuk Seo and Sanghyun Kim
Appl. Sci. 2024, 14(1), 134; https://doi.org/10.3390/app14010134 - 22 Dec 2023
Viewed by 587
Abstract
The demand for liquefied natural gas (LNG) ships is increasing for various reasons. Despite their enormous size, cargo holds inside freighters transporting LNG have traditionally been constructed by welding to high-quality standards for safety. This process traditionally relies on manual labor or semi-automatic [...] Read more.
The demand for liquefied natural gas (LNG) ships is increasing for various reasons. Despite their enormous size, cargo holds inside freighters transporting LNG have traditionally been constructed by welding to high-quality standards for safety. This process traditionally relies on manual labor or semi-automatic moving devices. In this study, a methodology was designed for robot-based automated laser welding inside large LNG cargo holds. The developed approach offers a practical solution to challenging issues such as the corrugation of the membrane that forms the inner walls of LNG cargo holds and the inter-floor movement of robots. This study analyzes and restructures the work for laser welding using mobile robots inside LNG cargo holds composed of membranes. For realistic constraints, such as inter-floor movement of robots and high-quality welding of membrane corrugations, methods integrated with manual work have been proposed. Additionally, for the overall membrane laser welding of the LNG cargo hold space, an automated method using robots was suggested. The developed methodology has been realized as operational software for the movement of robots for laser welding in LNG cargo holds. Full article
(This article belongs to the Special Issue Advances in Robotics-Based Automation Systems – 2nd Volume)
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14 pages, 817 KiB  
Article
Lateral Control Calibration and Testing in a Co-Simulation Framework for Automated Vehicles
by Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Appl. Sci. 2023, 13(23), 12898; https://doi.org/10.3390/app132312898 - 01 Dec 2023
Viewed by 685
Abstract
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle’s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics and is used in the open source for self-driving [...] Read more.
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle’s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics and is used in the open source for self-driving functions. However, a notable limitation of the current approach is the manual calibration of LQR controllers based on the experience and intuition of the designers, leading to empirical uncertainties. To address this issue and enhance the lateral control performance, this paper concentrates on refining the LQR by employing three optimization algorithms: artificial bee colony optimization (ABC), genetic algorithm (GA), and particle swarm optimization (PSO). These algorithms aim to overcome the reliance on empirical methods and enable a data-driven approach to LQR calibration. By comparing the outcomes of these optimization algorithms to the manual LQR controller within an offline multibody simulation as a testing platform, this study highlights the superiority of the best-performing optimization approach. Following this, the optimal algorithm is implemented on a real-time system for the full vehicle level, revealing the model-in-the-loop and the hardware-in-the-loop gap up to 78.89% with lateral velocity when we use the relative error criterion (REC) method to validate and 2.35 m with lateral displacement when considering the maximum absolute value method. Full article
(This article belongs to the Special Issue Advances in Robotics-Based Automation Systems – 2nd Volume)
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