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Colin Bicknell

4 accepted papers

2020

Collaborative Robot-Assisted Endovascular Catheterization with Generative Adversarial Imitation Learning

ICRA 2020poster

Master-slave systems for endovascular catheterization have brought major clinical benefits including reduced radiation doses to the operators, improved precision and stability of the instruments, as well as reduced procedural duration. Emerging deep reinforcement learning (RL) technologies could pot…

Cited by 116SourceScholar
2018

Trajectory Optimization of Robot-Assisted Endovascular Catheterization with Reinforcement Learning

IROS 2018poster

Emerging robot-assisted endovascular intervention has the potential to reduce X-ray radiations to the operator while enhancing the stability and dexterity of catheter manipulation. Supervised and shared autonomy of endovascular procedures could add further improvements in reduced fatigue and cogniti…

Cited by 60SourceScholar
2017

A learning based training and skill assessment platform with haptic guidance for endovascular catheterization

ICRA 2017poster

Increasing demands in endovascular intervention have motivated technical skill training and competency-based measures of performance. However, there are no well-established online metrics for technical skill assessment; few studies have explored operator behavioral patterns from catheter motion and…

Cited by 26SourceScholar
2015

Towards automated surgical skill evaluation of endovascular catheterization tasks based on force and motion signatures

ICRA 2015poster

Despite the increased use of robotic catheter navigation systems, and the growing interest in surgical skill evaluation in the field of endovascular intervention, there is a lack of objective and quantitative metrics for performance evaluation. So far very little research has studied operator behavi…

Cited by 0SourceScholar