In this section
The MIM Lab develops robotic and mechatronics surgical systems for a variety of procedures.
Prof Ferdinando Rodriguez y Baena
B415C Bessemer Building
South Kensington Campus
+44 (0)20 7594 7046
⇒ X: @fmryb
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.
The integration of mechatronics into medicine addresses critical challenges in modern healthcare by enhancing the precision, safety, and efficiency of surgical procedures. Traditional surgeries often involve significant risks and extended recovery times. By developing robotic systems that offer greater accuracy and control, we aim to minimise these risks and reduce invasiveness. Our research contributes to the advancement of minimally invasive techniques, which are essential for improving patient outcomes and optimising healthcare resources. Furthermore, our work supports the training of the next generation of surgeons, equipping them with cutting-edge tools and methodologies that reflect the evolving landscape of medical technology.
Patients stand to gain significantly from the innovations developed at the Mechatronics in Medicine Laboratory. Our robotic systems are designed to perform surgeries with enhanced precision, leading to fewer complications and faster recovery times. Minimally invasive procedures facilitated by our technologies result in less postoperative pain and reduced scarring, improving the overall patient experience. Additionally, the increased accuracy of our systems can lead to better surgical outcomes, such as more complete tumour removals or more precise joint replacements, thereby improving long-term health prospects. By pushing the boundaries of medical robotics, we strive to make advanced surgical care more accessible and effective for patients worldwide.
Dr Daniel Bautista Salinas
Research Associate
Dr Kaiwen Chen
Research Associate
Dr Zejian Cui
Research Associate
Mr Connor Daly
Research Postgraduate
Emeritus Professor Brian L Davies FREng
Emeritus Professor
Dr Hisham M Iqbal
Honorary Research Associate
Mr Alex Tian Jie Ranne
Casual - Lib. Ass, Clerks & Gen. Admin Assistants
Professor Ferdinando M Rodriguez y Baena
Co-Director of Hamlyn Centre, Professor of Medical Robotics
Dr Jialei Shi
Research Associate
Mr Spyridon Souipas
Casual - Other work
Ms Emilia Zari
Research Postgraduate
@inproceedings{Burrows:2015:10.1109/IROS.2015.7353739,
author = {Burrows, C and Liu, F and Rodriguez, y Baena F},
doi = {10.1109/IROS.2015.7353739},
pages = {2653--2658},
publisher = {IEEE},
title = {Smooth on-line path planning for needle steering with non-linear constraints},
url = {http://dx.doi.org/10.1109/IROS.2015.7353739},
year = {2015}
}
TY - CPAPER
AB - Percutaneous intervention is a commonly used surgicalprocedure for many diagnostic and therapeutic operations.Target motion in soft tissue during an intervention caused bytissue deformation is a common problem, along with needledisplacement. In this work, we present a deformation plannerthat generates continuous curvature paths with a boundedcurvature derivative that can be used on-line to reach a movingtarget. This planner is computationally inexpensive and can beused for any robotic system, which has finite angular velocity,to reach a mobile target. The deformation planner, is integratedinto a needle steering system using a novel, biologically inspiredneedle, STING, to track a simulated moving target. In-vitroresults in gelatin demonstrate accurate 2D tracking of a movingtarget (mean 0.27 mm end positional error and 0.80approachangle error) over 3 target movement rates.
AU - Burrows,C
AU - Liu,F
AU - Rodriguez,y Baena F
DO - 10.1109/IROS.2015.7353739
EP - 2658
PB - IEEE
PY - 2015///
SN - 2153-0858
SP - 2653
TI - Smooth on-line path planning for needle steering with non-linear constraints
UR - http://dx.doi.org/10.1109/IROS.2015.7353739
ER -
The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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