Prosjekter
Kontaktperson, prosjekter
Publikasjoner
- Human-Inspired Haptic-Enabled Learning from Prehensile Move Demonstrations
- Grasping Unknown Objects by Coupling Deep Reinforcement Learning, Generative Adversarial Networks, and Visual Servoing
- Fast and accurate GPU accelerated, high resolution 3D registration for robotic 3D reconstruction of compliant Food objects Les publikasjonen
- iPROCESS innovation - Innovative and Flexible Food Processing Technology in Norway - 2020:00981 A Les publikasjonen
- iProcess - Innovative and Flexible Food Processing Technology in Norway - 2019:01041 Les publikasjonen
- A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture Les publikasjonen
- Robotic Handling of Compliant Food Objects by Robust Learning from Demonstration Les publikasjonen
- Robust classification approach for segmentation of blood defects in cod fillets based on deep convolutional neural networks and support vector machines and calculation of gripper vectors for robotic processing Les publikasjonen
- Quality Evaluation of Seafoods
- Automated classification of roe, milt and liver from Atlantic cod based on spectral characterisation using hyperspectral imaging in visible/near infrared and shortwavelength infrared ranges
Annen formidling
- Curve fitting-based deformation tracking for vision-based robotic applications
- Roboter og AI på SINTEF
- AI-based robot-learning for grasping and manipulation
- Robotic grasping and manipulation of challenging food objects
- Learning neural representations for the processing of temporal data in deep neural networks
- Robotic Grasping and Manipulation of Compliant Food Objects
- Robotic manipulation of 3D compliant objects
- Roboter som ser og føler kan redde tonnevis med mat
- These New Visual And Tactile Sensing Robots Can Help Prevent Food Wastage
- Robots with visual and tactile sensing can prevent tons of food waste