Speaker & Presentation

Time (CET)

Prof. Dr. Dimitris Mourtzis

Chair Introduction

3:00 – 3:10 pm

Prof. Dr. Dimitris Mourtzis

Industry 5.0: Towards Human-Centric Manufacturing

Short Abstract

Manufacturing and production industries are currently undergoing transformations in order to integrate new information and communication technologies (ICT) into existing workplaces. European Commission released its Industry 5.0 Policy in 2021 and since then several research efforts have focused on the comparison of Industry 4.0, Industry 5.0, and Society 5.0. On the one hand, Industry 4.0 is technology-driven. Industry 5.0, on the other hand, is a value-driven approach towards the implementation of the available enabling technologies in industry. Human-centricity, sustainability, and resilience are the three interconnected core pillars of this new model. Furthermore, the human-centric approach in Industry 5.0 emphasizes that people have the right to choose what happens to them without fear of coercion or compulsion and new "digital human/operator rights" have emerged. As a result, the significance of Industry 5.0 should be emphasized. The contribution of this presentation is focused on the transition from Industry 4.0 to Industry 5.0, considering the key technologies that can be used to improve the abilities of the new generation of human operators, also known as Operator 5.0.

3:10 – 3:30 pm

Q&A

3:30 – 3:35 pm

Prof. Dr. David Romero

Towards the Resilient Operator 5.0

Short Abstract

The Resilient Operator 5.0" reinforces the human-centric and social sustainability characteristics of "The Operator 4.0” and adds — resilience — to the quest of designing and developing better human and human-machine systems that combine the unique capabilities of humans and machines towards smarter and more resilient manufacturing systems. This presentation aims to provide a vision for the future of work in the emerging Industry 5.0 hallmark and suggests how to use Industry 4.0 technologies to achieve socially sustainable working environments without compromising production objectives.

3:35 – 4:00 pm

Prof. Dr. Robert Gao

AI-Enhanced Human-Robot Collaborative Assembly

Short Abstract

As the fundamental building blocks of Industry 4.0, artificial intelligence plays a critical role in advancing the state-of-manufacturing. The ability in extracting clues from sensing data to guide the action of assistive infrastructure such as robots is essential to enhancing process control and production planning. This seminar highlights research on machine learning for human-robot collaborative assembly, where machine learning methods for the recognition of current actions and prediction of future actions of human operators during assembly operations are highlighted. This provides prerequisites for human-robot collaborative assembly and the potential of use-inspired basic research in advancing the state of manufacturing.

4:00 – 4:25 pm

Q&A

4:25 – 4:35 pm

Discussion and Concluding Remarks

4:35 – 5:00 pm