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Inspiring research conference in future manufacturing systems

Updated: Sep 19, 2022

Welcome to a day full of inspiring presentations of the absolute front-end research in Virtual Engineering. We’ll bring you into the future of manufacturing systems. A world of digitalized and optimized production, predictive maintenance with the support of IoT and Digital Twins. But also a world when virtual reality is used in human-robot collaboration, and much more.

This day is hosted by the research profile VF-KDO whose goal is to deliver radical innovations in manufacturing research, essential to design and operate next-generation manufacturing systems. So, you can rest assure you will leave this event filled with many new thoughts and ideas.

When and where

Date and time: September 21st at 9:30 - 15:00

This is a hybrid event: When you register you let us know if you want to participate via zoom, or at ASSAR Industrial Innovation Arena (how to get there). Of course you will get the best experience if you spend the day with us at ASSAR. Registration is closed, contact for registration questions.

Preliminary agenda - of course making room for research breakthrough.

09:30 - 09:50 Introduction, overview and VF-KDO mid-term summary, incl. coffee and sandwich

09:50 - 10:20 Optimization and knowledge discovery 10:20 - 10:50 Simulation-based decision support

10:50 - 11:10 Platform for integrated manufacturing & Industry 4.0

11:10 - 11:30 Virtual ergonomics

11:30 - 12:30 Lunch

12:30 - 13:15 Lab tour and robot demo

13:15 - 14:00 Industrial applications of MOO (guest talk by professor Kalyanmoy Deb, Michigan State University)

14:00 - 14:20 Courses for professionals - WISER (the content of the courses is based on research conducted in VF-KDO) 14:20 - 14:50 Panel discussion

14:50 - 15:00 Summary and information of what will happen next, incl. cake to celebrate the VF-KDO half-time milestone.

A selection of what will be presented

MOO – delivers more than one optimal answer to your complex problems

In the afternoon, we have the honor of welcoming Kalyanmoy Deb, a world-leading professor in Data Science with a passion for MOO (Multi-Objective Optimization). During this afternoon, Prof. Deb will take the industry perspective and guide us through the world of MOO.

If you are new to MOO, the purpose is to find more than one optimal solution to complex industrial problems. Let’s take the car for example, we want to minimize cost while maximizing comfort, and at the same time we want to maximize performance while minimizing fuel consumption and emission and so on. Not an easy equation to solve without the use of MOO.

During his talk, Prof. Deb will present several industrial examples wherein MOO can successfully solve various industrial problems. You can read Deb's abstract och bio-sketch here. If you would like to know about ongoing research projects in MOO at the University of Skövde, Amos Ng and /or Anna Syberfeldt can tell you more.

Photo by courtesy of Michigan State University.

Ph.D student My Andersson investigates representative feedback

In subject area ROBOT, one of the projects that we are conducting at the moment is investigating representative feedback such as vibrotactile feedback in Virtual Reality for human-robot collaboration with standard hand-held controllers. The experiments consist of a physical part, interactions with a real robot, and a virtual part, similar interactions with a virtual robot where potential representations of common tasks between a human and a robot get evaluated. 👉 About this experiment (and much more) on Sep 21st.

WISER - Courses for professionals

The research conducted within VF-KDO is utilized in many different ways. One way is to directly bring the knowledge into our courses and programs. WISER is one example. The content of the courses is based on research from our profile and the course structure is discussed with WISER's 24 project partners to make the courses meet the partner's requirements. On the 21st Tehseen Aslam, project leader for WISER will tell you more about the process from research to course.

👉 WISER courses ( swedish website)

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