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A Zero-Shot Reinforcement Learning Strategy for Autonomous Guidewire Navigation
Deep Reinforcement Learning approaches have shown promise in learning this task and may be the key to automating catheter navigation during robotized interventions.
Spatiotemporal modeling of grip forces captures proficiency in manual robot control
This paper builds on our previous work by exploiting Artificial Intelligence to predict individual grip force variability in manual robot control.
Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning
The non-constant rotation speed of optical components in the OCT catheter tip causes rotational distortion in OCT volumetric scanning.
An adaptive and fully automatic method for estimating the 3D position of bendable instruments using endoscopic images
The proposed method provides an automatic and accurate estimation of the 3D position of the tip of a bendable instrument in realistic conditions, where standard approaches fail.
