Prosjekter
Kontaktperson, prosjekter
Publikasjoner
- 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
- 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
- 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
- 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
