Special Issue "Digital Twins in Robotics"

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

Deadline for manuscript submissions: 10 April 2024 | Viewed by 140

Special Issue Editors

Rehab Technologies Lab, Istituto Italiano di Tecnologia, Via Morego, 30, 16163 Genoa, Italy
Interests: neuroergonomics; biomedical robotics; human–robot interaction; human augmentation; rehabilitation technology; assistive technology; prosthetics; extended reality; digital health; gamification
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Department of Machine Design, KTH Royal Institute of Technology, SE 100 44 Stockholm, Sweden
Interests: systems theory; architecture design; ontological engineering; domain-specific language; logic programming; anomaly detection; safety engineering
Special Issues, Collections and Topics in MDPI journals
Department of Mechanical, Energy and Management Engineering, Università della Calabria, 87036 Rende, Italy
Interests: robotics; robot design; mechatronics; walking hexapod; design procedure; mechanics of machinery; leg–wheel
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Digital twins (DTs) constitute an emergent class of enabling technologies: virtual systems replicating, monitoring, predicting, and improving the processes and features of physical systems, known as their physical twins (PTs). Such digital replicas are based on data-intensive network-based computational solutions connected in real-time with their real counterpart. However, the research effort to implement and validate DTs in different applied fields—from industry to healthcare—is still at its dawn, especially considering how they can be intertwined with other enabling technologies such as robotic systems. Indeed, DTs can offer versatile tools for optimizing the design, capabilities, and maintenance of mechatronic devices in heterogeneous contexts. It is also important to ponder how robots can interact with humans, constituting an even higher level of complexity in the challenge of modeling and predicting their conditions and behaviors. Accordingly, novel interdisciplinary approaches should enable solutions for twining any system constituted or including mechatronic devices, especially considering how we can have robotic tools, robotic agents, and even robotic environments. 

This Special Issue aims to collect and organize the literature on novel approaches, cases, and investigations on “Digital Twins in Robotics”. We welcome the submission of any type of paper on topics such as:

1. Digital twins in robotics and related infrastructures for simulation and modeling;
2. Applications of Internet of Things, big data, and extended reality to digital twins in robotics;
3. Applications of wearable technologies and computing to digital twins in robotics;
4. Digital twins in robotics and cobotics for industrial applications;
5. Digital twins in robotics for healthcare, surgery, assistance, rehabilitation, and prosthetics;
6. Digital twins in robotics for education and training;
7. Interacting with digital twins (and Phygital twins) in robotics;
8. Digital twins in human–robot interaction design and robot ergonomics;
9. Ethical and legal issues of digital twins in robotics.

Dr. Giacinto Barresi
Dr. Dejiu Chen
Prof. Dr. Giuseppe Carbone
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.


  • digital twins
  • robotics
  • human–robot interaction
  • simulation
  • ergonomics
  • computational models

Published Papers

This special issue is now open for submission.
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