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Applied Sciences Webinar | Advances in Human Machine Interfaces: Robotics and Automation Towards Industry 5.0

23 Nov 2022, 10:00 (CET)

Industry 40, Automation, Robotics, CyberPhysical Systems CPS, Artificial Intelligence AI, Digital Twin, Internet of Things IoT, Simulation
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Welcome from the Chair

7th Webinar of Applied Sciences

Advances in Human Machine Interfaces: Robotics and Automation Towards Industry 5.0

Industry 5.0 is an upcoming manufacturing concept which promotes the Human-Machine Interfaces (HMI) in manufacturing and production systems and networks in an attempt to achieve more efficient Human-Robot Collaboration (HRC). Consequently, several new technologies, among them being Cloud Computing, 5G networks, and Artificial Intelligence (AI), Digital Twins (DT), are employed for creating knowledge and to facilitate engineers to design, develop, and implement more robust decision-making frameworks. Automation and robotics are two key areas that provide fertile ground for further research towards the realization of Smart Factories. To that end, automation systems play a very important role in the field of manufacturing, especially under the framework of Industry 4.0, which includes the use of various Information and Communication Technologies (ICT), infrastructure, and control systems such as Smart Machinery, Cyber-Physical Machine Tools (CPMTs), Robotics, Processes in factories, and other applications. Therefore, this Webinar, serves as a communication portal for further investigation of the current trends in modern automation and robotic systems, as well as the discussion of the expected industrial and societal impact to be expected in the next few years.

Date: 23 November 2022

Time: 10:00 am CET | 4:00 am EST | 11:00 am EET | 5:00 pm CST Asia | 5:00 pm SGT

Webinar ID: 853 7684 4126

Webinar Secretariat: applsci.webinar@mdpi.com

Chair

Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, Rio Patras, Greece

DETAILS
Talk
The blending of human and mechanical capabilities has become a reality in the realm of Industry 4.0. This is an exciting prospect due to the fact that human capabilities are extended in a variety of ways. Enterprises are encouraged towards the design and development of frameworks towards the harnessing of human power and technology in an attempt to enhance the artificial intelligence (AI) era. During the last decade technologies associated with AI have transformed the competitive landscape especially during the pandemic. Concretely, the jobs in the new era now involve integrating people with technology which highlights the importance to focus on the human aspect, described as Society 5.0. Humachine can be realized as a concept that takes advantage of both humans and machines. Therefore, this talk will focus on identifying the capabilities and distinctive characteristics of both humans and machines, in an attempt to lay the foundations for enhancing HMI.
Bio
Vice President of R&D Council of University of Patras, Governing Board Member for University of Patras at CLEAN AVIATION Joint Undertaking. Scientific interests: Simulation, Planning/Control of Manufacturing Networks, Robotics, Extended Reality, Process Modelling, Maintenance, Development of solutions based on Cloud, IoT, Digital Twin, 5G, AI, PSS, Digital Transformation of Manufacturing Companies, and Implementation of Industry 5.0 practices. Fellow of the: International Academy for Production Research (CIRP), International Federation of Automatic Control (IFAC 5.2), International Federation of Information Processing (IFIP WG 5.7), European Factories of the Future Association (EFFRA), American Society of Mechanical Engineers (ASME). Founding Member of the European Aeronautics Science Network/Association (EASN). Authored and Edited “Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology”, Elsevier (2022). He is Editorial Board Member in 9 and Guest Editor in 11 Special Issues in International Scientific Journals, has published more than 300 scientific papers and received more than 11.000 citations (h-index: 55).

Invited Speakers

Sustainable Manufacturing, Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

DETAILS
Talk
As an emerging technology, human-robot collaboration (HRC) has attracted increasing attentions in recent years, both in academia and in industry. For example, in human-robot collaborative assembly, robots are often required to dynamically change their pre-planned trajectories and control parameters to collaborate with humans in a shared workspace. However, industrial robots used today in factories are still controlled by pre-generated rigid codes that cannot support effective HRC that requires runtime adaptability. In response to the need of better adaptability, human motion prediction for example is crucial for both collision avoidance and proactive assistance of robots to humans, in addition to multi-modal robot control and in-situ operator support. Deep learning is proven to be useful for classification, recognition and context awareness identification. Within the context, this presentation provides the current status as well as technical treatments of relevant technologies employed in HRC. Remaining challenges and future research directions will also be highlighted.
Bio
Lihui Wang is a Chair Professor in Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. His research interests are primarily focused on human-robot collaboration, cyber-physical systems, real-time monitoring and control, predictive maintenance, and adaptive manufacturing systems. Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, International Journal of Manufacturing Research, and Journal of Manufacturing Systems. He has published 10 books and authored in excess of 600 scientific publications. Professor Wang is a Fellow of Canadian Academy of Engineering, CIRP, SME and ASME, the President (2020-2021) of North American Manufacturing Research Institution of SME, and the Chairman (2018-2020) of Swedish Production Academy.

Mechanical Engineering Department, Faculty of Engineering, National University of Singapore, Singapore

DETAILS
Talk
Human-machine interaction (HMI) has been widely researched and reported, with approaches ranging from co-existence to collaboration and human-machine symbiosis. Many research and applications of HMI in human-robot collaboration and human-robot cooperation have been reported. Augmented Reality and Digital Twins have been applied in HMI. This presentation aims to provide an overview of the technical features and characteristics of various HMI approaches. The presentation will summarize the enabling tools for achieving human-machine symbiosis. The current limitation factors and future trends of human-machine symbiosis will also be discussed.
Bio
SK Ong lectures at National University of Singapore, and her research interests are virtual and augmented reality applications in manufacturing, ubiquitous manufacturing, assistive technology and rehabilitation engineering. She is a Fellow of the International Academy for Production Engineering CIRP. She received 2004 Outstanding Young Manufacturing Engineer Award, US Society of Manufacturing Engineers and 2009 Emerging Leaders Award in Academia (US Society for Women Engineers). She has published 8 books and over 300 international refereed journal and conference papers, with a google citation of more than 10,821, and a H-index of 57.

Webinar Content

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Program

Speaker/Presentation

Time in CET

Prof. Dr. Dimitris MOURTZIS

Webinar Opening – Chair Introduction

10:00 - 10:10 am

Prof. Dr. Lihui WANG

Advance in Human-Robot Collaborative Assembly

Abstract:
As an emerging technology, human-robot collaboration (HRC) has attracted increasing attentions in recent years, both in academia and in industry. For example, in human-robot collaborative assembly, robots are often required to dynamically change their pre-planned trajectories and control parameters to collaborate with humans in a shared workspace. However, industrial robots used today in factories are still controlled by pre-generated rigid codes that cannot support effective HRC that requires runtime adaptability. In response to the need of better adaptability, human motion prediction for example is crucial for both collision avoidance and proactive assistance of robots to humans, in addition to multi-modal robot control and in-situ operator support. Deep learning is proven to be useful for classification, recognition and context awareness identification. Within the context, this presentation provides the current status as well as technical treatments of relevant technologies employed in HRC. Remaining challenges and future research directions will also be highlighted.

10:10 - 10:30 am

Prof. Dr. Soh Khim ONG

Enabling Tools in Human-Machine Symbiosis

Abstract:
Human-machine interaction (HMI) has been widely researched and reported, with approaches ranging from co-existence to collaboration and human-machine symbiosis. Many research and applications of HMI in human-robot collaboration and human-robot cooperation have been reported. Augmented Reality and Digital Twins have been applied in HMI. This presentation aims to provide an overview of the technical features and characteristics of various HMI approaches. The presentation will summarize the enabling tools for achieving human-machine symbiosis. The current limitation factors and future trends of human-machine symbiosis will also be discussed.

10:30 - 10:50 am

Prof. Dr. Dimitris MOURTZIS

Humachine – The Future of Human-Machine Interface (HMI) in Society 5.0

Abstract:
The blending of human and mechanical capabilities has become a reality in the realm of Industry 4.0. This is an exciting prospect due to the fact that human capabilities are extended in a variety of ways. Enterprises are encouraged towards the design and development of frameworks towards the harnessing of human power and technology in an attempt to enhance the artificial intelligence (AI) era. During the last decade technologies associated with AI have transformed the competitive landscape especially during the pandemic. Concretely, the jobs in the new era now involve integrating people with technology which highlights the importance to focus on the human aspect, described as Society 5.0. Humachine can be realized as a concept that takes advantage of both humans and machines. Therefore, this talk will focus on identifying the capabilities and distinctive characteristics of both humans and machines, in an attempt to lay the foundations for enhancing HMI.

10:50 - 11:10 am

Q&A Session & Discussion

11:10 - 11:25 am

Closing of Webinar
Prof. Dimitris MOURTZIS

11:25 - 11:30 am

Relevant SI

Feature Review Papers in "Robotics and Automation" Section
Guest Editors: Prof. Dr. Dimitris Mourtzis, Prof. Dr. Panagiotis Stavropoulos & Dr. Nikos Panopoulos
Deadline for manuscript submissions: 31 December 2022

Sponsors and Partners

Organizers

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