Projekt ViMCoR
Forskningsprojekt , 2019 – 2021

A larger variety of future truck models means new challenges for the truck industry. Chalmers automation researchers and Volvo Trucks collaborate in the Industry 4.0 (a.k.a. Industrial Internet of Things (IoT) project ViMCoR to develop technology that will allow a significant higher degree of truck variations on the same assembly line using AI.​
​New demands on renewable energy in transportation and the development of autonomous vehicles have made vehicle companies predict that their future number of variants will increase. Until now truck manufacturing has needed few assembly lines to produce all the companyís models. When hybrid, fully electric, fuel cell-based powertrains and different grades of autonomous vehicles get introduced, the lines will become crowded, and the different parts will be hard to fit next to the production. The ViMCoR project focuses on developing ATRs (Autonomous Transport Robots), that will support the line with parts from remote places and order new material when the AI system detects that more is needed. It is also building an AI system that will improve collaborative robotsí abilities to work side by side with humans at the assembly line.   

Deltagare

Knut Åkesson (kontakt)

Biträdande professor vid Chalmers, Elektroteknik, System- och reglerteknik, Automation

Martin Fabian

Professor vid Chalmers, Elektroteknik, System- och reglerteknik, Automation

Yiannis Karayiannidis

Forskare vid Chalmers, Elektroteknik, System- och reglerteknik, Mekatronik

Sabino Francesco Roselli

Doktorand vid Chalmers, Elektroteknik, System- och reglerteknik, Automation

Torsten Sattler

Docent vid Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Ze Zhang

Doktorand vid Chalmers, Elektroteknik, System- och reglerteknik, Automation

Finansiering

Volvo Group

Projekt-id: ProjectViMCoR
Finansierar Chalmers deltagande under 2019–2021

Mer information

Projektet på Chalmers webb

https://www.chalmers.se/en/centres/chair/n...

Senast uppdaterat

2021-07-21