The MIM Lab develops robotic and mechatronics surgical systems for a variety of procedures.

Head of Group

Prof Ferdinando Rodriguez y Baena

B415C Bessemer Building
South Kensington Campus

+44 (0)20 7594 7046

⇒ X: @fmryb

 

What we do

The Mechatronics in Medicine Laboratory develops robotic and mechatronics surgical systems for a variety of procedures including neuro, cardiovascular, orthopaedic surgeries, and colonoscopies. Examples include bio-inspired catheters that can navigate along complex paths within the brain (such as EDEN2020), soft robots to explore endoluminal anatomies (such as the colon), and virtual reality solutions to support surgeons during knee replacement surgeries.

Meet the team

Citation

BibTex format

@inproceedings{Matheson:2020:10.1109/iros40897.2019.8967604,
author = {Matheson, E and Secoli, R and Galvan, S and Baena, FRY},
doi = {10.1109/iros40897.2019.8967604},
publisher = {IEEE},
title = {Human-robot visual interface for 3D steering of a flexible, bioinspired needle for neurosurgery},
url = {http://dx.doi.org/10.1109/iros40897.2019.8967604},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Robotic minimally invasive surgery has been a subject of intense research and development over the last three decades, due to the clinical advantages it holds for patients and doctors alike. Particularly for drug delivery mechanisms, higher precision and the ability to follow complex trajectories in three dimensions (3D), has led to interest in flexible, steerable needles such as the programmable bevel-tip needle (PBN). Steering in 3D, however, holds practical challenges for surgeons, as interfaces are traditionally designed for straight line paths. This work presents a pilot study undertaken to evaluate a novel human-machine visual interface for the steering of a robotic PBN, where both qualitative evaluation of the interface and quantitative evaluation of the performance of the subjects in following a 3D path are measured. A series of needle insertions are performed in phantom tissue (gelatin) by the experiment subjects. User could adequately use the system with little training and low workload, and reach the target point at the end of the path with millimeter range accuracy.
AU - Matheson,E
AU - Secoli,R
AU - Galvan,S
AU - Baena,FRY
DO - 10.1109/iros40897.2019.8967604
PB - IEEE
PY - 2020///
TI - Human-robot visual interface for 3D steering of a flexible, bioinspired needle for neurosurgery
UR - http://dx.doi.org/10.1109/iros40897.2019.8967604
UR - https://ieeexplore.ieee.org/document/8967604
UR - http://hdl.handle.net/10044/1/77749
ER -

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The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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