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{Sivananthan:2023:10.1111/den.14461,
author = {Sivananthan, A and Ahmed, J and Kogkas, A and Mylonas, G and Darzi, A and Patel, N},
doi = {10.1111/den.14461},
journal = {DIGESTIVE ENDOSCOPY},
pages = {314--322},
title = {Eye tracking technology in endoscopy: Looking to the future},
url = {http://dx.doi.org/10.1111/den.14461},
volume = {35},
year = {2023}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Sivananthan,A
AU  - Ahmed,J
AU  - Kogkas,A
AU  - Mylonas,G
AU  - Darzi,A
AU  - Patel,N
DO  - 10.1111/den.14461
EP  - 322
PY  - 2023///
SN  - 0915-5635
SP  - 314
TI  - Eye tracking technology in endoscopy: Looking to the future
T2  - DIGESTIVE ENDOSCOPY
UR  - http://dx.doi.org/10.1111/den.14461
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000891087100001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 35
ER  -