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 3116
Special Issue Editors
Interests: robotics; autonomous vehicles; self-driving shuttle; smart city
Special Issues, Collections and Topics in MDPI journals
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
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