In this section

Human-Centred Automation, Robotics and Monitoring

We use perceptual methods, AI, and frugal robotics innovation to deliver transformative diagnostic and treatment solutions.

Head of Group

Dr George Mylonas

B415B Bessemer Building
South Kensington Campus

+44 (0)20 3312 5145

YouTube ⇒ HARMS Lab

What we do

The HARMS lab leverages perceptually enabled methodologies, artificial intelligence, and frugal innovation in robotics (such as soft surgical robots) to deliver transformative solutions for diagnosis and treatment. Our research is driven by both problem-solving and curiosity, aiming to build a comprehensive understanding of the actions, interactions, and reactions occurring in the operating room. We focus on using robotic technologies to facilitate procedures that are not yet widely adopted, particularly in endoluminal surgery, such as advanced treatments for gastrointestinal cancer.

Meet the team

Mr Amirhosein Alian
Research Postgraduate

Dr James P Avery
Honorary Lecturer

Mr Junhong Chen
Research Postgraduate

Mr Kaizhong Deng
Research Postgraduate

Dr George Mylonas BEng, MSc, DIC, PhD
Senior Lecturer in Robotics and Technology in Cancer

Dr Adrian Rubio Solis
Research Associate in Sensing and Machine Learning

Dr Jianlin Yang
Research Associate

Citation

BibTex format

@article{Runciman:2019,
author = {Runciman, M and Darzi, A and Mylonas, G},
journal = {Soft Robotics},
pages = {423--443},
title = {Soft robotics in minimally invasive surgery},
url = {https://www.liebertpub.com/doi/10.1089/soro.2018.0136},
volume = {6},
year = {2019}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Soft robotic devices have desirable traits for applications in minimally invasive surgery (MIS) but many interdisciplinary challenges remain unsolved. To understand current technologies, we carried out a keyword search using the Web of Science and Scopus databases, applied inclusion and exclusion criteria, and compared several characteristics of the soft robotic devices for MIS in the resulting articles. There was low diversity in the device designs and a wide-ranging level of detail regarding their capabilities. We propose a standardised comparison methodology to characterise soft robotics for various MIS applications, which will aid designers producing the next generation of devices.
AU  - Runciman,M
AU  - Darzi,A
AU  - Mylonas,G
EP  - 443
PY  - 2019///
SN  - 2169-5172
SP  - 423
TI  - Soft robotics in minimally invasive surgery
T2  - Soft Robotics
UR  - https://www.liebertpub.com/doi/10.1089/soro.2018.0136
UR  - http://hdl.handle.net/10044/1/67408
VL  - 6
ER  -

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