RObot based Autonomous Refuse handling (ROAR)
Forskningsprojekt, 2015 – 2016

With potential to increase both safety and quality aspects in our daily use of and interaction with vehicles, autonomous vehicles is currently a major trend in the automotive industry. The initial focus up to now has been on autonomous driving of passenger cars, like platooning and queueing assistance etc. There has also been initial tests with systems of construction equipment that perform autonomous asphalt spreading and gravel loading etc. A further step to extend and improve the service we experience today, might be to combine vehicles and peripheral support devices to join autonomous driving with autonomous loading and unloading of goods. In the future, an autonomous electrified distribution truck might for example work together with support devices to enable autonomous loading and unloading of goods to and from our doorstep just hours after we ordered a pick-up or delivery service online.


The RObot based Autonomous Refuse handling (ROAR) project is a first attempt to demonstrate such an autonomous combination. A refuse collection truck is equipped with an autonomously moving robot able to fetch, empty, and put back refuse bins in a predefined area. Chalmers is responsible for the overall control and supervision of the complete system and for developing the sub-system where a quadcopter autonomously detects within the specified area the position and orientation of the refuse bins to be emptied.

Deltagare

Martin Fabian (kontakt)

Chalmers, Elektroteknik, System- och reglerteknik

Patrik Bergagård

Chalmers, Elektroteknik, System- och reglerteknik

Petter Falkman

Chalmers, Elektroteknik, System- och reglerteknik

Samarbetspartners

Mälardalens högskola

Västerås, Sweden

Pennsylvania State University

State college, USA

Renova

Göteborg, Sweden

Finansiering

Volvo Group

Finansierar Chalmers deltagande under 2015–2016

Relaterade styrkeområden och infrastruktur

Hållbar utveckling

Drivkrafter

Mer information

Projektet på Chalmers webb

http://www.chalmers.se/sv/projekt/Sidor/GA...

Senast uppdaterat

2016-01-20