Teaching robots to see and feel
Newly developed technology has given robots the ability to learn new skills, enabling them to perform complex tasks and work alongside humans. This innovation can benefit many crucial societal functions, such as food production
Changing the food processing industry
The iProcess project for a more sustainable food production and to reduce the amount of the climate emissions, the flexible robotic automation technology will enable to increase raw material utilization, reduce food loss and waste, and to cope with biological variation of raw material from fish to wheat.
New project shall provide better understanding of food value chain and network dynamics
To address specific challenges facing the food system and food value chains in Europe, SINTEF Ocean along with 21 international partners from Europe and Asia, have kick started the EU Horizon2020 project VALUMICS in June 2017.
iProcess – The green shift in food industry
Artificial Eye, brain and hands: Research towards developing new solutions based on “artificial eye, brain and hand” is expected to be a next generation technology that will bring the Norwegian seafood, food and aquaculture industry closer to the consumer and contribute to the circular bioeconomy.
SINTEF Ocean – merging SINTEF's marine research into one institute
SINTEF is merging its ocean research activities into one new institute, called SINTEF Ocean. The ambition is to strengthen our position as a world-leader in the fields of marine technology and biomarine research.
"A floating knowledge center"
The fish farming company Marine Harvest wants to build a Blue Revolution Center (BRC), aiming to find new technological solutions for the fish farming industry.
One of the greatest challenges in robotics today is the contact processing of a robot with an object and dexterous handling of compliant objects. This is particularly emphasized when it comes to dealing with handling and grasping in harvesting, post harvesting and processing operations of fragile and compliant food raw materials. The food industry is showing and increased interest for flexible robot based automation solutions that are also suitable for small-scale production volumes. Robotic optimal grasping and imitation of the complex manual dexterity of skilled human operators is therefore a prerequisite to enable a higher uptake of robotic automation in food industry.
Using robots to get more food from raw materials
Can an industrial robot succeed both at removing the breast fillet from a chicken, and at the same time get more out of the raw materials? This is one of the questions to which researchers working on the CYCLE project now have the answer.