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Machines
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New Trends in Industrial Robots
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New Trends in Industrial Robots

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Industrial Systems".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 5893

Special Issue Editors

Prof. Dr. Sever-Gabriel Racz

E-Mail Website
Guest Editor
Industrial Machines and Equipment Department, Faculty of Engineering, Lucian Blaga University of Sibiu, Sibiu, Romania
Interests: robotics; mechatronics; metal forming; hydraulic and pneumatic driving systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Radu-Eugen Breaz

E-Mail Website
Co-Guest Editor
Department of Industrial Machines and Equipment, Faculty of Engineering, "Lucian Blaga" University of Sibiu, 550025 Sibiu, Romania
Interests: CAD/CAE/CAM; industrial automation; PLCs; industrial robots; CNC systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industrial robots are rapidly evolving to meet the needs of industry. We are now seeing the use of industrial robots in continuous path control applications, such as metal (or other types of materials) cutting. Other applications involving continuous path control (instead of point-to-point control) are deburring, continuous welding, precision painting, and so on. The complexity of these applications requires the development of digital twins for the robotic processing system.

We are also seeing the increasing use of collaborative robots (cobots) designed to work with human operators. Cobots are becoming more versatile due to breakthroughs in sensors, vision, and grippers. This allows them to adapt to dynamic workplaces and tackle a larger set of assignments.

Another direction of development is the integration of AI and machine learning techniques into industrial robots to give them the ability to learn, make decisions, and even program themselves.

Solutions combining industrial robots with mobile robots have also recently emerged, resulting in robots that can move and perform different tasks simultaneously or perform these tasks in different locations that they can move to autonomously.

Another exciting direction in robotics development is humanoid robots designed to tackle industrial tasks.

Prof. Dr. Sever-Gabriel Racz
Prof. Dr. Radu-Eugen Breaz
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. 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.

Keywords

  • continuous path control
  • machining with robots
  • digital twins for robots
  • collaborative robots
  • mobile industrial robots
  • humanoid robots for industrial tasks

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Published Papers (2 papers)

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Research

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25 pages, 13905 KiB  
Article
A Framework for Real-Time Autonomous Robotic Sorting and Segregation of Nuclear Waste: Modelling, Identification and Control of DexterTM Robot
by Mithun Poozhiyil, Omer F. Argin, Mini Rai, Amir G. Esfahani, Marc Hanheide, Ryan King, Phil Saunderson, Mike Moulin-Ramsden, Wen Yang, Laura Palacio García, Iain Mackay, Abhishek Mishra, Sho Okamoto and Kelvin Yeung
Machines 2025, 13(3), 214; https://doi.org/10.3390/machines13030214 - 6 Mar 2025
Viewed by 1015
Abstract
Robots are essential for carrying out tasks, for example, in a nuclear industry, where direct human involvement is limited. However, present-day nuclear robots are not versatile due to limited autonomy and higher costs. This research presents a merely teleoperated DexterTM nuclear robot’s [...] Read more.
Robots are essential for carrying out tasks, for example, in a nuclear industry, where direct human involvement is limited. However, present-day nuclear robots are not versatile due to limited autonomy and higher costs. This research presents a merely teleoperated DexterTM nuclear robot’s transformation into an autonomous manipulator for nuclear sort and segregation tasks. The DexterTM system comprises a arm client manipulator designed to operate in extreme radiation environments and a similar single/dual-arm local manipulator. In this paper, initially, a kinematic model and convex optimization-based dynamic model identification of a single-arm DexterTM manipulator is presented. This model is used for autonomous DexterTM control through Robot Operating System (ROS). A new integration framework incorporating vision, AI-based grasp generation and an intelligent radiological surveying method for enhancing the performance of autonomous DexterTM is presented. The efficacy of the framework is demonstrated on a mock-up nuclear waste test-bed using similar waste materials found in the nuclear industry. The experiments performed show potency, generality and applicability of the proposed framework in overcoming the entry barriers for autonomous systems in regulated domains like the nuclear industry. Full article
(This article belongs to the Special Issue New Trends in Industrial Robots)
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Review

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30 pages, 7844 KiB  
Review
Soft Grippers in Robotics: Progress of Last 10 Years
by Andrius Dzedzickis, Jūratė Jolanta Petronienė, Sigitas Petkevičius and Vytautas Bučinskas
Machines 2024, 12(12), 887; https://doi.org/10.3390/machines12120887 - 5 Dec 2024
Cited by 1 | Viewed by 4469
Abstract
This paper is dedicated to soft grippers, robot tools with a wide application area in various activities where an accurate and delicate grabbing movement is required such as routine manipulation tasks with fragile objects, operation in unknown or dangerous environments, and manipulation with [...] Read more.
This paper is dedicated to soft grippers, robot tools with a wide application area in various activities where an accurate and delicate grabbing movement is required such as routine manipulation tasks with fragile objects, operation in unknown or dangerous environments, and manipulation with unknown shape objects, as well as exploring the depths of the sea or harvesting vegetables in agriculture. The main goal of this paper is to review and systematize the main ideas about and achievements of soft grippers published from 2015 to 2024. The paper provides a statistical analysis of the performed research and systematized advancements of soft grippers according to their operating principle, forces and effects that enable their operation, and the properties of potential manipulation objects. Grippers inspired by nature are also discussed, as most successful solutions are based on ideas derived from nature. This study discusses the latest achievements of soft grippers and their various applications and presents a unique distribution of soft grippers according to the physical principle of the forces they act on, according to the size of the object to be grasped, and according to technological realizations. The results of this analysis can be useful for practical gripper users aiming to improve their workplace and find optimal design solutions, for gripper manufacturers or developers, or for scientists of material sciences looking for applications for their products. Full article
(This article belongs to the Special Issue New Trends in Industrial Robots)
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