Advanced Robotics and Autonomous Systems Technologies for Industry 5.0: Sustainable and Human-Centric Automation

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: closed (31 January 2023) | Viewed by 2290

Special Issue Editors


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Guest Editor
Autonomous Vehicles Research Group, Tallinn University of Technology (TalTech), 19086 Tallinn, Estonia
Interests: robotics; autonomous vehicles; self-driving shuttle; smart city
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Guest Editor
Smart Industry Research Group, Tallinn University of Technology (TalTech), 19086 Tallinn, Estonia
Interests: smart manufacturing; Industry 4.0; digital twins; digital manufacturing

Special Issue Information

Dear Colleagues,

Digitalization is currently a heavily ongoing process in the industry, which entails leading production and industrial automation to a more effective and flexible process. Additionally, known in Europe as Industry 4.0 robotics, AI and connectivity are the focus. However, applying digital solutions to manufacturing processes raises new risks and issues which require solving. Sustainability and human-centric, resilient production is challenging the world and cannot be ignored. The Industry 5.0 paradigm does not replace or continue Industry 4.0—it comprises it. Thus, robotics, artificial intelligence and autonomous systems are highly relevant but must now be applied in a sustainable and resilient way, keeping a human-centric approach in mind.

The aim of this Special Issue on “Advanced Robotics and Autonomous Systems Technologies for Industry 5.0: Sustainable and Human-centric Automation” is to cover new approaches, methodologies, solutions and experiments on how to bring sustainability and a human-centric approach to an industrial process where digitalization and robotics are already applied.

Papers with experiments on real robots and autonomous systems are preferred; however, theoretical approaches and simulations are also welcome.

List of topics:

1) Advanced robotics;

2) Autonomous systems in the industry;

3) Autonomous vehicles in the industrial mobility;

4) Machine learning for mobile robotics;

5) Social robotics;

6) Sustainable digitalized production;

7) Human-centric robotics;

8) AI in robotics;

9) Industry 5.0.

Prof. Dr. Raivo Sell
Prof. Dr. Tauno Otto
Guest Editors

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Keywords

  • advanced robotics
  • autonomous systems in the industry
  • autonomous vehicles in the industrial mobility
  • machine learning for mobile robotics
  • social robotics
  • sustainable digitalized production
  • human-centric robotics
  • AI in robotics
  • Industry 5.0

Published Papers (1 paper)

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Research

17 pages, 1961 KiB  
Article
A Study on Social Exclusion in Human-Robot Interaction
by Sharon Ewa Spisak and Bipin Indurkhya
Electronics 2023, 12(7), 1585; https://doi.org/10.3390/electronics12071585 - 28 Mar 2023
Cited by 2 | Viewed by 1809
Abstract
Recent research in human-robot interaction (HRI) points to possible unfair outcomes caused by artificial systems based on machine learning. The aim of this study was to investigate if people are susceptible to social exclusion shown by a robot and, if they are, how [...] Read more.
Recent research in human-robot interaction (HRI) points to possible unfair outcomes caused by artificial systems based on machine learning. The aim of this study was to investigate if people are susceptible to social exclusion shown by a robot and, if they are, how they signal the feeling of being rejected from the group. We review the research on social exclusion in the context of human–human interaction and explore its relevance for HRI. Then we present the results of our experiment to simulate social exclusion in the context of HRI: the participants (for whom it was their first encounter with a robot) and the Nao robot were asked to cooperate in solving the bomb defusal task, during which the robot favored one participant with whom it had a longer interaction before the task. The robot was controlled using the Wizard-of-Oz methodology throughout the experiment. Our results show that the discriminated participants reported a higher feeling of exclusion. Though some other hypotheses were not confirmed, we present several qualitative observations from our experiment. For example, it was noticed that the participants who behaved more openly and were more extraverted acted more comfortably when interacting with the robot. Full article
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