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Robotics
Special Issues
Human–Robot Collaboration in Industry 5.0
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Human–Robot Collaboration in Industry 5.0

A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Industrial Robots and Automation".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 563

Special Issue Editor

Dr. Stefano Baraldo

E-Mail Website
Guest Editor
Automation, Robotics and Machines, Institute of Systems and Technology for Sustainable Production, Department of Innovative Technologies, University of Applied Science and Arts of Southern Switzerland, Via La Santa 1, 6962 Lugano, Switzerland
Interests: industrial robotics; metal additive manufacturing; machine learning; human–robot collaboration

Special Issue Information

Dear Colleagues,

Industry is moving towards new models of human–machine interaction, where workers are put at the center of an ecosystem that supports them in achieving both productivity and wellbeing, rather than being overwhelmed by technology. In this framework, called Industry 5.0, the new generation of robots must be able to truly collaborate with workers, thanks to safe, natural, and ultimately ethical interactions.

We are pleased to invite you to submit an article to this Special Issue, which is aimed at promoting actual developments in human–robot collaboration (HRC) and their main applications in industrial settings, where safety, trust, but also efficiency have paramount importance.

The Special Issue aims to collect relevant contributions about key topics in HRC, including but not limited to the following: safe shared-space interaction, learning by demonstration, natural language-based control, behavior programming and adaptation, affective computing, HRC experience evaluation, ethics in AI, edge computing, and HRC applications.

Dr. Stefano Baraldo
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 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. Robotics 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 1800 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

  • human–robot collaboration
  • affective computing
  • learning by demonstration
  • natural language processing
  • deliberation
  • behavior adaptation
  • AI ethics
  • industrial applications
  • voice interaction
  • computer vision

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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20 pages, 14885 KB  
Article
MultiPhysio-HRC: A Multimodal Physiological Signals Dataset for Industrial Human–Robot Collaboration
by Andrea Bussolan, Stefano Baraldo, Oliver Avram, Pablo Urcola, Luis Montesano, Luca Maria Gambardella and Anna Valente
Robotics 2025, 14(12), 184; https://doi.org/10.3390/robotics14120184 - 5 Dec 2025
Abstract
Human–robot collaboration (HRC) is a key focus of Industry 5.0, aiming to enhance worker productivity while ensuring well-being. The ability to perceive human psycho-physical states, such as stress and cognitive load, is crucial for adaptive and human-aware robotics. This paper introduces MultiPhysio-HRC, a [...] Read more.
Human–robot collaboration (HRC) is a key focus of Industry 5.0, aiming to enhance worker productivity while ensuring well-being. The ability to perceive human psycho-physical states, such as stress and cognitive load, is crucial for adaptive and human-aware robotics. This paper introduces MultiPhysio-HRC, a multimodal dataset containing physiological, audio, and facial data collected during real-world HRC scenarios. The dataset includes electroencephalography (EEG), electrocardiography (ECG), electrodermal activity (EDA), respiration (RESP), electromyography (EMG), voice recordings, and facial action units. The dataset integrates controlled cognitive tasks, immersive virtual reality experiences, and industrial disassembly activities performed manually and with robotic assistance, to capture a holistic view of the participants’ mental states. Rich ground truth annotations were obtained using validated psychological self-assessment questionnaires. Baseline models were evaluated for stress and cognitive load classification, demonstrating the dataset’s potential for affective computing and human-aware robotics research. MultiPhysio-HRC is publicly available to support research in human-centered automation, workplace well-being, and intelligent robotic systems. Full article
(This article belongs to the Special Issue Human–Robot Collaboration in Industry 5.0)
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12 pages, 3628 KB  
Article
A Dataset of Standard and Abrupt Industrial Gestures Recorded Through MIMUs
by Elisa Digo, Michele Polito, Elena Caselli, Laura Gastaldi and Stefano Pastorelli
Robotics 2025, 14(12), 176; https://doi.org/10.3390/robotics14120176 - 28 Nov 2025
Viewed by 233
Abstract
Considering the human-centric approach promoted by Industry 5.0, safety becomes a crucial aspect in scenarios of human–robot interaction, especially when abrupt human movements occur due to inattention or unexpected circumstances. To this end, human motion tracking is necessary to promote a safe and [...] Read more.
Considering the human-centric approach promoted by Industry 5.0, safety becomes a crucial aspect in scenarios of human–robot interaction, especially when abrupt human movements occur due to inattention or unexpected circumstances. To this end, human motion tracking is necessary to promote a safe and efficient human–machine interaction. Literature datasets related to the industrial context generally contain controlled and repetitive gestures tracked with visual systems or magneto-inertial measurement units (MIMUs), without considering the occurrence of unexpected events that might cause operators’ abrupt movements. Accordingly, the aim of this paper is to present the dataset DASIG (Dataset of Standard and Abrupt Industrial Gestures) related to both standard typical industrial movements and abrupt movements registered through MIMUs. Sixty healthy working-age participants were asked to perform standard pick-and-place gestures interspersed with unexpected abrupt movements triggered by visual or acoustic alarms. The dataset contains MIMUs signals collected during the execution of the task, data related to the temporal generation of alarms, anthropometric data of all participants, and a script for demonstrating DASIG usability. All raw data are provided, and the collected dataset is suitable for several analyses related to the industrial context (gesture recognition, motion planning, ergonomics, safety, statistics, etc.). Full article
(This article belongs to the Special Issue Human–Robot Collaboration in Industry 5.0)
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