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Jonatan Sjølund Dyrstad

Master of Science

Jonatan Sjølund Dyrstad

Master of Science

Jonatan Sjølund Dyrstad
Phone: 916 49 673
Department: Seafood Technology
Office: Trondheim

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...

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+1611909

We teach a real robot to grasp real fish, by training a virtual robot exclusively in virtual reality. Our approach implements robot imitation learning from a human supervisor in virtual reality. A deep 3D convolutional neural network computes grasps from a 3D occupancy grid obtained from depth imagi...

Year 2018
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1572396

We present an approach to robotic deep learning from demonstration in virtual reality, which combines a deep 3D convolutional neural network, for grasp detection from 3D point clouds, with domain randomization to generate a large training data set. The use of virtual reality (VR) enables robot learn...

Year 2018
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1529209

I lakseindustrien er fleksibilitet svært viktig for å kunne levere et mangfold av produkter til konsumentene, på en effektiv og lønnsom måte. På samme tid ønskes det å utnytte råvaren (fisken) på den beste og mest optimale måten for mest mulig h...

Authors Eilertsen Aleksander Børresen Dyrstad Jonatan Sjølund Bondø Morten Steen
Year 2017
Type Report/thesis