In this section

Human-centred Automation, Robotics and Monitoring

Head of Group

Dr George Mylonas

About us

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

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.

Why it is important?

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How can it benefit patients?

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Meet the team

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

Citation

BibTex format

@article{Kwok:2012:10.1007/s10439-012-0578-4,
author = {Kwok, K-W and Sun, L-W and Mylonas, GP and James, DRC and Orihuela-Espina, F and Yang, G-Z},
doi = {10.1007/s10439-012-0578-4},
journal = {ANNALS OF BIOMEDICAL ENGINEERING},
pages = {2156--2167},
title = {Collaborative Gaze Channelling for Improved Cooperation During Robotic Assisted Surgery},
url = {http://dx.doi.org/10.1007/s10439-012-0578-4},
volume = {40},
year = {2012}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Kwok,K-W
AU  - Sun,L-W
AU  - Mylonas,GP
AU  - James,DRC
AU  - Orihuela-Espina,F
AU  - Yang,G-Z
DO  - 10.1007/s10439-012-0578-4
EP  - 2167
PY  - 2012///
SN  - 0090-6964
SP  - 2156
TI  - Collaborative Gaze Channelling for Improved Cooperation During Robotic Assisted Surgery
T2  - ANNALS OF BIOMEDICAL ENGINEERING
UR  - http://dx.doi.org/10.1007/s10439-012-0578-4
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000308638400007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - http://hdl.handle.net/10044/1/13192
VL  - 40
ER  -