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Jenny Dankelman

3 accepted papers

2022

Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing

IROS 2022poster

Navigation inside luminal organs is an arduous task that requires non-intuitive coordination between the movement of the operator's hand and the information obtained from the endoscopic video. The development of tools to automate certain tasks could alleviate the physical and mental load of doctors…

Cited by 22SourceScholar
2022

Deep-Learning-Based Compliant Motion Control of a Pneumatically-Driven Robotic Catheter

RA-L 2022

In cardiovascular interventions, when steering catheters and especially robotic catheters, great care should be paid to prevent applying too large forces on the vessel walls as this could dislodge calcifications, induce scars or even cause perforation. To address this challenge, this paper presents

Cited by 39SourceScholar
2021

Hysteresis Modeling of Robotic Catheters Based on Long Short-Term Memory Network for Improved Environment Reconstruction

RA-L 2021

Catheters are increasingly being used to tackle problems in the cardiovascular system. However, positioning precision of the catheter tip is negatively affected by hysteresis. To ensure tissue damage due to imprecise positioning is avoided, hysteresis is to be understood and compensated for. This wo

Cited by 52SourceScholar