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Machines
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Mechatronics: Intelligent Machines
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Mechatronics: Intelligent Machines

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: closed (1 December 2016) | Viewed by 79162

Special Issue Editor

Prof. Dr. Robert Parkin

E-Mail Website1 Website2
Guest Editor
Pro Vice Chancellor, Research and Knowledge Transfer, University of Bradford, Bradford BD7 1DP, West Yorkshire, UK
Interests: mechatronics; sensors and actuators; intelligent automation

Special Issue Information

Dear Colleagues,

The technical term “Mechatronics” was coined by Mr. Tetsuro Mori, in 1969 when he worked for the Yaskawa Electric Corporation in Kitakyushu, Japan. The purpose was to promote a new approach to produce machine tools by integrating mechanics and electronics to generate machines with a greater flexibility, consistency and productivity. Since then, the explosion of low-cost computing, embedded systems, and Artificial Intelligence techniques has broadened the scope of the domain and allowed applications to scale new heights of sophistication. Mechatronics is, therefore, a multi-disciplinary, integrating, systems-based approach that yields enhanced products, processes, and systems.

Whilst the discipline relies heavily on enabling technologies, theoretical design, and modeling, it is essentially an applications-driven domain, where the embodiment is a crucial factor in demonstrating the effectiveness of the mechatronic approach.

This Special Issue aims to bring together papers that report recent advances and challenges in addressing problems and designing new solutions for improvements of design and implementation of mechatronic systems. Original contribution papers are expected with contents that present successful solutions to new problems in intelligent systems. We believe that this Special Issue will be useful and informative to both researchers and practitioners. We also hope to deliver readers promising new ideas and directions for future developments in the field of mechatronics.

Suitable topics for this Special Issue include, but are not limited to:

  • Sensors and Actuators
  • Machine vision
  • Novel designs and smart structures
  • Embedded systems
  • Systems integration
  • Condition based awareness
  • Intelligent systems/Negotiant systems
  • Robotics
  • Medical/Biomedical applications
  • Manufacturing machinery applications
  • Service applications
  • Automotive applications
  • Aerospace applications

Prof. Dr. Robert Parkin
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. Machines 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 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.

Published Papers (3 papers)

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Research

2263 KiB  
Article
Dynamic Simulation of the Harvester Boom Cylinder
by Rongfeng Shen, Xiaozhen Zhang and Chengjun Zhou
Machines 2017, 5(2), 13; https://doi.org/10.3390/machines5020013 - 17 Apr 2017
Cited by 4 | Viewed by 5662
Abstract
Based on the complete dynamic calculation method, the layout, force, and strength of harvester boom cylinders were designed and calculated. Closed simulations for the determination of the dynamic responses of the harvester boom during luffing motion considering the cylinder drive system and luffing [...] Read more.
Based on the complete dynamic calculation method, the layout, force, and strength of harvester boom cylinders were designed and calculated. Closed simulations for the determination of the dynamic responses of the harvester boom during luffing motion considering the cylinder drive system and luffing angle position control have been realized. Using the ADAMS mechanical system dynamics analysis software, six different arm poses were selected and simulated based on the cylinder as the analysis object. A flexible model of the harvester boom luffing motion has been established. The movement of the oil cylinder under different conditions were analyzed, and the main operation dimensions of the harvester boom and the force condition of the oil cylinder were obtained. The calculation results show that the dynamic responses of the boom are more sensitive to the luffing acceleration, in comparison with the luffing velocity. It is seen that this method is very effective and convenient for boom luffing simulation. It is also reasonable to see that the extension of the distance of the bottom of the boom is shortened by adjusting the initial state of the boom in the working process, which can also effectively reduce the workload of the boom—thus improving the mechanical efficiency. Full article
(This article belongs to the Special Issue Mechatronics: Intelligent Machines)
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1113 KiB  
Article
Perception, Planning, Control, and Coordination for Autonomous Vehicles
by Scott Drew Pendleton, Hans Andersen, Xinxin Du, Xiaotong Shen, Malika Meghjani, You Hong Eng, Daniela Rus and Marcelo H. Ang
Machines 2017, 5(1), 6; https://doi.org/10.3390/machines5010006 - 17 Feb 2017
Cited by 429 | Viewed by 65839
Abstract
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic [...] Read more.
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed. Full article
(This article belongs to the Special Issue Mechatronics: Intelligent Machines)
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7277 KiB  
Article
Self-Organization and Self-Coordination in Welding Automation with Collaborating Teams of Industrial Robots
by Günther Starke, Daniel Hahn, Diana G. Pedroza Yanez and Luz M. Ugalde Leal
Machines 2016, 4(4), 23; https://doi.org/10.3390/machines4040023 - 30 Nov 2016
Cited by 7 | Viewed by 6630
Abstract
In welding automation, growing interest can be recognized in applying teams of industrial robots to perform manufacturing processes through collaboration. Although robot teamwork can increase profitability and cost-effectiveness in production, the programming of the robots is still a problem. It is extremely time [...] Read more.
In welding automation, growing interest can be recognized in applying teams of industrial robots to perform manufacturing processes through collaboration. Although robot teamwork can increase profitability and cost-effectiveness in production, the programming of the robots is still a problem. It is extremely time consuming and requires special expertise in synchronizing the activities of the robots to avoid any collision. Therefore, a research project has been initiated to solve those problems. This paper will present strategies, concepts, and research results in applying robot operating system (ROS) and ROS-based solutions to overcome existing technical deficits through the integration of self-organization capabilities, autonomous path planning, and self-coordination of the robots’ work. The new approach should contribute to improving the application of robot teamwork and collaboration in the manufacturing sector at a higher level of flexibility and reduced need for human intervention. Full article
(This article belongs to the Special Issue Mechatronics: Intelligent Machines)
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