We use perceptual methods, AI, and frugal robotics innovation to deliver transformative diagnostic and treatment solutions.
B415B Bessemer Building
South Kensington Campus
+44 (0)20 3312 5145
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.
Mr Amirhosein Alian
Casual - Other work
Dr Said Alyacoubi
Clinical Research Fellows
Dr James P Avery
Honorary Lecturer
Mr Junhong Chen
Casual
Mr Kaizhong Deng
Research Postgraduate
Mr KAIZHE JIN
Research Postgraduate
Mr Hanqi LOU
Research Postgraduate
Dr George Mylonas BEng, MSc, DIC, PhD
Associate Professor in Robotics and Technology in Cancer
Dr Adrian Rubio Solis
Research Associate in Sensing and Machine Learning
Dr Jianlin Yang
Research Associate
Mr Zhangxi Zhou
Research Postgraduate
@inproceedings{Noonan:2008:10.1109/IROS.2008.4651105,
author = {Noonan, D and Mylonas, G and Darzi, A and Yang, GZ},
doi = {10.1109/IROS.2008.4651105},
pages = {1186--1191},
publisher = {IEEE/RSJ},
title = {Gaze Contingent Articulated Robot Control for Robot Assisted Minimally Invasive Surgery},
url = {http://dx.doi.org/10.1109/IROS.2008.4651105},
year = {2008}
}
TY - CPAPER
AB - This paper introduces a novel technique for controlling an articulated robotic device through the eyes of the surgeon during minimally invasive surgery. The system consists of a binocular eye-tracking unit and a robotic instrument featuring a long, rigid shaft with an articulated distal tip for minimally invasive interventions. They have been integrated into a daVinci surgical robot to provide a seamless and non-invasive localization of eye fixations of the surgeon. By using a gaze contingent framework, the surgeon's fixations in 3D are converted into commands that direct the robotic probe to the desired location. Experimental results illustrate the ability of the system to perform real-time gaze contingent robot control and opens up a new avenue for improving current human-robot interfaces.
AU - Noonan,D
AU - Mylonas,G
AU - Darzi,A
AU - Yang,GZ
DO - 10.1109/IROS.2008.4651105
EP - 1191
PB - IEEE/RSJ
PY - 2008///
SP - 1186
TI - Gaze Contingent Articulated Robot Control for Robot Assisted Minimally Invasive Surgery
UR - http://dx.doi.org/10.1109/IROS.2008.4651105
ER -