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Advancements in Industrial Robotics and Automation

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

Deadline for manuscript submissions: 20 December 2026 | Viewed by 913

Special Issue Editors


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Guest Editor
Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland
Interests: industrial robots (IR); application (including: technical and technological equipment, machine vision, safety, task selection, programming, predictive maintenance, work optimization, AI, integration with production systems, ROI etc.); VR/AR in robotics; Industry 4.0/5.0 integration; smart factory; dark factory in industrial applications related to IR

E-Mail Website
Guest Editor
Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland
Interests: surface wettability; surface topography; surface metrology; precision engineering; multiscale analysis; scale-sensitive fractal analysis; manufacturing technologies
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Košice, Prešov, Slovakia
Interests: industrial robotics; automation; collaborative robotics (cobots); cognitive robotics; process automation; AI in robotics; machine learning; predictive maintenance; autonomous decision-making; digital twins; cyber-physical systems; smart factories; IIoT integration; advanced sensors; machine vision; interoperability; sustainability; energy efficiency; Industry 4.0; Industry 5.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of advanced robotics and automation technologies poses new challenges in the design, implementation, and control of production processes. This Special Issue aims to explore novel concepts and experimental findings that contribute to the field of advanced robotic systems by integrating innovative mechatronics, sensor technologies, vision systems, and artificial intelligence algorithms, enabling adaptive operation within dynamic production environments. The role of modern industrial robots is becoming increasingly significant due to their enhanced positioning precision, higher operating speeds, and ability to perform in even the most complex industrial processes, supported by intelligent control systems and high safety standards. In this context, collaborative robots are being increasingly adopted due to their ability to safely operate in shared human–robot environments. Innovations in industrial robotics align with the concept of Industry 4.0/5.0 through the use of intelligent robotic systems and advanced automation technologies that focus on human–machine collaboration, adaptive automation, and sustainable production. This Special Issue is dedicated to presenting practical applications in robotics and automation, which can be supported by theoretical analyses, experimental research, and simulations.

Research areas may include, but are not limited to, the following:

  • Artificial intelligence applications in industrial robotics and automation;
  • Virtual reality and augmented reality;
  • Manufacturing process robotization according to Industry 4.0 and 5.0;
  • Human–robot interaction;
  • Advanced and sustainable manufacturing processes;
  • Modeling and simulation for robotic process optimization;
  • Advanced sensor and measurement technologies in robotic systems.

We look forward to receiving your contributions.

Prof. Dr. Olaf Ciszak
Dr. Katarzyna Peta
Dr. Jozef Husar
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 250 words) can be sent to the Editorial Office for assessment.

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

  • industrial robots
  • robotics and automation
  • artificiall intelligence
  • advanced manufacturing
  • digital twin
  • dark factory
  • Industry 4.0/5.0
  • collaborative robots
  • vision systems
  • virtual reality
  • augmented reality

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Published Papers (1 paper)

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Research

18 pages, 3565 KB  
Article
Whole-Body Tele-Operation for Mobile Manipulator Based on Linear and Angular Motion Decomposition
by Ji-Wook Kwon, Ji-Hyun Park, Taeyoung Uhm, Jongdeuk Lee, Jungwoo Lee and Young-Ho Choi
Appl. Sci. 2026, 16(2), 712; https://doi.org/10.3390/app16020712 - 9 Jan 2026
Cited by 1 | Viewed by 554
Abstract
This paper proposed an end-effector (EE)-driven whole-body tele-operation framework based on linear and angular motion decomposition. The proposed EE-driven tele-operation method enables intuitive control of a mobile manipulator using only EE commands, unlike conventional systems where the mobile base and manipulator are controlled [...] Read more.
This paper proposed an end-effector (EE)-driven whole-body tele-operation framework based on linear and angular motion decomposition. The proposed EE-driven tele-operation method enables intuitive control of a mobile manipulator using only EE commands, unlike conventional systems where the mobile base and manipulator are controlled by separate interfaces that directly map user inputs to each component. The proposed linear and angular motion decomposition mechanism significantly reduces the computational burden compared to conventional optimization-based whole-body control algorithms. Also, EE position is evaluated relative to the manipulator’s WS, and control authority is automatically switched between the manipulator and mobile base to ensure feasible motion. A blending-based transition strategy is introduced to prevent discontinuous switching and chattering near WS boundaries. Simulation results confirm that the method accurately reproduces tele-operation commands while maintaining stable whole-body coordination, demonstrating smooth transitions between control authorities and effective WS regulation. Simulation results confirm that the method accurately reproduces tele-operation commands while maintaining stable whole-body coordination, verifying the feasibility of the proposed approach. Future work will focus on experimental validation using a physical mobile manipulator. Full article
(This article belongs to the Special Issue Advancements in Industrial Robotics and Automation)
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