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{Sivananthan:2024:10.1007/s11701-024-02022-5,
author = {Sivananthan, A and Rubio-Solis, A and Darzi, A and Mylonas, G and Patel, N},
doi = {10.1007/s11701-024-02022-5},
journal = {J Robot Surg},
title = {Eye-controlled endoscopy - a benchtop trial of a novel robotic steering platform - iGAZE2.},
url = {http://dx.doi.org/10.1007/s11701-024-02022-5},
volume = {18},
year = {2024}
}

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RIS format (EndNote, RefMan)

TY - JOUR
AB - The endoscopic control system has remained similar in design for many decades The remit of advanced therapeutic endoscopy continues to expand requiring precision control and high cognitive workloads. Robotic systems are emerging, but all still require bimanual control and expensive and large new systems. Eye tracking is an exciting area that can be used as an endoscope control system. This is a study to establish the feasibility of an eye-controlled endoscope and compare its performance and cognitive demand to use of a conventional endoscope. An eye gaze-control system consisting of eye-tracking glasses, customised software and a small motor unit was built and attached to a conventional endoscope. Twelve non-endoscopists used both the eye gaze system and a conventional endoscope to complete a benchtop task in a simulated oesophagus and stomach. Completion of tasks was timed. Subjective feedback was collected from each participant on task load using the NASA Task Load Index. Participants were significantly quicker completing the task using iGAZE2 vs a conventional endoscope (65.02 ± 16.34s vs 104.21 ± 51.31s, p = 0.013) Participants were also significantly quicker completing retroflexion using iGAZE2 vs a conventional endoscope (8.48 ± 3.08 vs 11.38 ± 5.36s, p = 0.036). Participants reported a significantly lower workload (raw NASA-TLX score) when using iGAZE2 vs the conventional endoscope (152.1 ± 63.4 vs 319.6 ± 81.6, p = 0.0001) (Fig. 7). Users found iGAZE2 to have a significantly lower temporal demand, mental demand, effort, mental demand, physical demand, and frustration level. The eye gaze system is an exciting, small, and retrofittable system to any endoscope. The system shows exciting potential as a novel endoscopic control system with a significantly lower workload and better performance in no
AU - Sivananthan,A
AU - Rubio-Solis,A
AU - Darzi,A
AU - Mylonas,G
AU - Patel,N
DO - 10.1007/s11701-024-02022-5
PY - 2024///
TI - Eye-controlled endoscopy - a benchtop trial of a novel robotic steering platform - iGAZE2.
T2 - J Robot Surg
UR - http://dx.doi.org/10.1007/s11701-024-02022-5
UR - https://www.ncbi.nlm.nih.gov/pubmed/38916651
VL - 18
ER -

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