Automation: 5th Anniversary Feature Papers

A special issue of Automation (ISSN 2673-4052).

Deadline for manuscript submissions: 31 July 2025 | Viewed by 2631

Special Issue Editor


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Guest Editor
Department of Electrical and Computer Engineering and the Institute for Systems Research, University of Maryland, College Park, MD 20742, USA
Interests: system and control theory; electric power system dynamics and control; systems engineering; the analysis and design of complex networks; communication networks; social networks; aerospace control systems
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Special Issue Information

Dear Colleagues,

The journal Automation was founded in 2020. During the past 5 years, Automation has published over 5 Special Issues and 100 papers and welcomed breakthrough and innovative papers in automation, control, and allied topics.

Automation covers a broad range of areas, such as studies related to the following topics: control theory, optimization algorithms, networked systems, condition monitoring, manufacturing systems, energy management systems, aerospace control systems, learning systems, intelligent control systems, artificial neural networks, motion control and sensing, supervisory control and data acquisition, process automation and monitoring, fault detection and diagnosis, robotics and applications, human–machine systems and interfaces, and automation-related devices and sensors.

The year 2024 marks the journal’s 5th anniversary as well as its acceptance for coverage in the Emerging Sources Citations Index (ESCI) in Web of Science. We are thus excited to celebrate Automation’s 5th anniversary with a Special Issue.

This Special Issue welcomes both research and review papers presenting innovative developments and insightful reviews on automation, control, and allied topics.

Prof. Dr. Eyad H. Abed
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. Automation is an international peer-reviewed open access quarterly 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 1000 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

  • automation
  • control theory
  • optimization algorithms

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Published Papers (1 paper)

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22 pages, 270 KiB  
Article
Humanoid Robots like Tesla Optimus and the Future of Supply Chains: Enhancing Efficiency, Sustainability, and Workforce Dynamics
by Mohammad Shamsuddoha, Tasnuba Nasir and Mohammad Saifuddoha Fawaaz
Automation 2025, 6(1), 9; https://doi.org/10.3390/automation6010009 - 20 Feb 2025
Viewed by 2008
Abstract
Integrating futuristic humanoids like Tesla Optimus into supply chain operations represents groundbreaking automation and workforce efficiency innovation. This study investigates the potential of humanoids to address critical supply chain challenges, such as labor shortages, rising operational costs, and the demand for sustainable practices. [...] Read more.
Integrating futuristic humanoids like Tesla Optimus into supply chain operations represents groundbreaking automation and workforce efficiency innovation. This study investigates the potential of humanoids to address critical supply chain challenges, such as labor shortages, rising operational costs, and the demand for sustainable practices. Considering its ability to handle worker-intensive, hazardous, and repetitive duties, humanoids could offer an alternative to business challenges like inefficient operations, health and safety concerns, and worker shortages. Intelligent robotics plays an essential role in improving productivity, supporting sustainability, and transforming workforce dynamics as supply chains become increasingly complex. The study examines the effects of humanoids on workforce reallocation, manufacturing sustainability, and supply chain productivity. The current research reviews the usefulness, advantages, and downsides of integrating humanoids into supply chains. This study uses a mixed-method approach, incorporating case studies, qualitative productivity data, and expert interviews. According to Tesla, Optimus could significantly enhance supply chain efficiency by reducing error rates, streamlining workflows, and enabling 24/7 operations. It could also help meet sustainability goals by lowering waste and energy consumption. The study limits Tesla’s experience, modern technologies, and inadequate information from various industrial and geographical contexts. However, this study will be eye-opening for industries requiring such humanoid robots for their operations. Additional studies need to deal with factors like high implementation expenses, potential job displacement, and flexibility in changing supply chain demands. While focused on Tesla, this study provides insights that can inform broader applications of humanoid robotics in supply chains across industries. This study presents an in-depth review of humanoid involvement in developing future supply chain models. It also offers helpful knowledge that will assist industries in considering adopting comparable robotic integration as a strategic decision. Full article
(This article belongs to the Special Issue Automation: 5th Anniversary Feature Papers)
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