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Marianne Bakken

Research Scientist/PhD Fellow

Marianne Bakken

Research Scientist/PhD Fellow

Marianne Bakken
Phone: +47 958 98 490
Department: Smart Sensor Systems
Office: Oslo

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1687425

We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution convolutional neural network trained entirely in a simulated environment. The dual-r...

Year 2018
Type Part of a book/report
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1665083

We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution convolutional neural network trained entirely in a simulated environment. The dualre...

Year 2018
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1664298

For robotic technology to be adopted within the agricultural domain, there is a need for low-cost systems that can be deployed autonomously across a wide variety of crop types, environmental conditions, and planting methods, without extensive re-engineering. We present an end-to-end learning approac...

Authors Bakken Marianne Moore Richard From Pål Johan
Year 2018
Type Conference lecture and academic presentation
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1411807

The objectives of this project have been to image bones in whole fish and fillets in 9 different spices and to provide detailed information about the size, orientation and location of pinbones and the walking stick bone in fillets. For each spices 2-4 fillets were CT scanned and analyzed. The bones ...

Year 2016
Type Report/thesis