Zobrazeno 1 - 10
of 22
pro vyhledávání: '"John Reidar Mathiassen"'
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0137805 (2015)
The European diet today generally contains too much sodium (Na(+)). A partial substitution of NaCl by KCl has shown to be a promising method for reducing sodium content. The aim of this work was to investigate the sensorial changes of cooked ham with
Externí odkaz:
https://doaj.org/article/6fd2d813648543f0a494088330bc1aa5
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e95363 (2014)
The aim of this study was to investigate the feasibility of two detection methods for use in discrimination and sorting of adult Atlantic cod (about 2 kg) in the small scale capture-based aquaculture (CBA). Presently, there is no established method f
Externí odkaz:
https://doaj.org/article/f401e38a8d484ee3abe9799234ce69a3
Publikováno v:
Aquaculture
Continuous data on the condition of fish is necessary to monitor, control and document biological processes in fish farms in real-time, yet acquiring it from a large net-pen environment is challenging. Tools to rapidly detect change in the entire net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bb82d8bb3760e30df5714b44f9b34e5
https://doi.org/10.1016/j.aquaculture.2022.738949
https://doi.org/10.1016/j.aquaculture.2022.738949
Autor:
Cecilie Salomonsen, Aleksander Eilertsen, Terje Mugaas, John Reidar Mathiassen, Eirin Marie Skjøndal Bar, Ådne Solhaug Linnerud, Harry Westavik, Ekrem Misimi
Publikováno v:
Industrial Robot: An International Journal. 43:421-428
Purpose Practically all salmon fillets produced in Norway are trimmed clean of unwanted fat, bone remnants and other defects according to customer requirements. In today’s modern salmon-processing plants, the trimming operation is performed by a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d99b8b0e1ce57a69d7585eaa0204464
https://doi.org/10.1108/ir-11-2015-0205
https://doi.org/10.1108/ir-11-2015-0205
Publikováno v:
Computers and Electronics in Agriculture. 123:142-148
A 3D machine vision system for quality grading of Atlantic salmon is proposed.Geometric and color features are extracted from a colored 3D point cloud.Salmon can be accurately graded with respect to deformities and wounds, using support vector machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::724990b7662dffc78eda267f4382309c
https://doi.org/10.1016/j.compag.2016.02.020
https://doi.org/10.1016/j.compag.2016.02.020
Publikováno v:
Robotics and Biomimetics
ROBIO
ROBIO
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. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25f862c517f695c2e252b1f3d58f24b8
https://hdl.handle.net/11250/2496162
https://hdl.handle.net/11250/2496162
Teaching a Robot to Grasp Real Fish by Imitation Learning from a Human Supervisor in Virtual Reality
Publikováno v:
IEEE International Conference on Intelligent Robots and Systems. Proceedings
IROS
IROS
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31c1f68207f9b826706067c6beed89c5
http://hdl.handle.net/11250/2582626
http://hdl.handle.net/11250/2582626
Autor:
John Reidar Mathiassen, Esten Ingar Grøtli, Helene Schulerud, Jonatan S. Dyrstad, Marianne Bakken
Publikováno v:
Robotics and Biomimetics
ROBIO
ROBIO
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 train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e43bbceb5a969269a2f06e32a3ffe1f
https://hdl.handle.net/11250/2592926
https://hdl.handle.net/11250/2592926
Autor:
Ekrem Misimi, Alexander Olofsson, Elling Ruud Øye, John Reidar Mathiassen, Aleksander Eilertsen
Publikováno v:
IROS
The robotic handling of compliant and deformable food raw materials, characterized by high biological variation, complex geometrical 3D shapes, and mechanical structures and texture, is currently in huge demand in the ocean space, agricultural, and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07dfa79a7645d255fc0076e0bbbcb382
https://hdl.handle.net/11250/2990064
https://hdl.handle.net/11250/2990064
Publikováno v:
Computers and Electronics in Agriculture
Despite advances in computer vision and segmentation techniques, the segmentation of food defects such as blood spots, exhibiting a high degree of randomness and biological variation in size and coloration degree, has proven to be extremely challengi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f6c43aedf2b480677086eb0a871c37c
https://hdl.handle.net/11250/2990063
https://hdl.handle.net/11250/2990063