Prosjekter
Kontaktperson, prosjekter
Publikasjoner
- Learning active manipulation to target shapes with model-free, long-horizon deep reinforcement learning
- 6-DoF Closed-Loop Grasping with Reinforcement Learning
- Curve Fitting-Based Deformation Tracking for Vision-Based Robotic Applications
- 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
Annen formidling
- Reinforcement Learning for Robotic Control and Manipulation in Ocean Space Applications
- Sintef-roboten kan gripe objekter som ingen andre
- Denne roboten trener seg opp i en virtuell verden
- Denne roboten trener seg opp i en virtuell verden – det har gitt den helt spesielle egenskaper
- KI gjør det mulig å lære roboter nye triks
- Dagsrevyen 21, Roboter til mat, segment 8
- SLCP: Stochastic Latent Consistency Policy for closed loop 6-DOF Grasping
- 6-DoF Closed-Loop Grasping with Reinforcement Learning
- Learning active manipulation to target shapes using model-free, long-horizon deep reinforcement learning
- Curve fitting-based deformation tracking for vision-based robotic applications