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Caspar Gruijthuijsen

5 accepted papers

2019

A Hybrid Active/Passive Wrist Approach for Increasing Virtual Fixture Stiffness in Comanipulated Robotic Minimally Invasive Surgery

RA-L 2019

In minimally invasive surgery (MIS), the incision point acts as a fulcrum about which the surgical instrument pivots. Most robotic MIS systems foresee procedures to carefully align the robot with the incision in the patient. Such procedures disrupt the normal workflow. This hampers the clinical tran

Cited by 2SourceScholar
2018

From a Disposable Ureteroscope to an Active Lightweight Fetoscope - Characterization and Usability Evaluation

RA-L 2018

The twin-to-twin transfusion syndrome is a severe fetal anomaly appearing in up to 15% of identical twin pregnancies. This anomaly occurs when twins share blood vessels from a common placenta. The complication leads to an unbalanced blood transfusion between both fetuses. A current surgical treatmen

Cited by 15SourceScholar
2018

Leveraging the Fulcrum Point in Robotic Minimally Invasive Surgery

RA-L 2018

In robotic minimally invasive surgery, the incision point acts as a fulcrum around which the surgical instrument pivots. The fulcrum point has been the topic of much research. Mechanisms have been invented to enforce instrument motion about such a fulcrum. Other systems establish a fulcrum through c

Cited by 22SourceScholar
2017

Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery

IROS 2017poster

Surgical interventions are increasingly executed minimal invasively. Surgeons insert instruments through tiny incisions in the body and pivot slender instruments to treat organs or tissue below the surface. While a blessing for patients, surgeons need to pay extra attention to overcome the fulcrum e…

Cited by 5SourceScholar
2017

ToolNet: Holistically-nested real-time segmentation of robotic surgical tools

IROS 2017poster

Real-time tool segmentation from endoscopic videos is an essential part of many computer-assisted robotic surgical systems and of critical importance in robotic surgical data science. We propose two novel deep learning architectures for automatic segmentation of non-rigid surgical instruments. Both…

Cited by 168SourceScholar