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

Mr Hanqi LOU
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

Mr Zhangxi Zhou
Research Postgraduate

Citation

BibTex format

@article{Miyashita:2018:10.1007/s11548-018-1717-7,
author = {Miyashita, K and Oude, Vrielink T and Mylonas, G},
doi = {10.1007/s11548-018-1717-7},
journal = {International Journal of Computer Assisted Radiology and Surgery},
pages = {659--669},
title = {A cable-driven parallel manipulator with force sensing capabilities for high-accuracy tissue endomicroscopy},
url = {http://dx.doi.org/10.1007/s11548-018-1717-7},
volume = {13},
year = {2018}
}

Download

RIS format (EndNote, RefMan)

TY - JOUR
AB - PURPOSE: Endomicroscopy (EM) provides high resolution, non-invasive histological tissue information and can be used for scanning of large areas of tissue to assess cancerous and pre-cancerous lesions and their margins. However, current robotic solutions do not provide the accuracy and force sensitivity required to perform safe and accurate tissue scanning. METHODS: A new surgical instrument has been developed that uses a cable-driven parallel mechanism (CPDM) to manipulate an EM probe. End-effector forces are determined by measuring the tensions in each cable. As a result, the instrument allows to accurately apply a contact force on a tissue, while at the same time offering high resolution and highly repeatable probe movement. RESULTS: 0.2 and 0.6 N force sensitivities were found for 1 and 2 DoF image acquisition methods, respectively. A back-stepping technique can be used when a higher force sensitivity is required for the acquisition of high quality tissue images. This method was successful in acquiring images on ex vivo liver tissue. CONCLUSION: The proposed approach offers high force sensitivity and precise control, which is essential for robotic EM. The technical benefits of the current system can also be used for other surgical robotic applications, including safe autonomous control, haptic feedback and palpation.
AU - Miyashita,K
AU - Oude,Vrielink T
AU - Mylonas,G
DO - 10.1007/s11548-018-1717-7
EP - 669
PY - 2018///
SN - 1861-6429
SP - 659
TI - A cable-driven parallel manipulator with force sensing capabilities for high-accuracy tissue endomicroscopy
T2 - International Journal of Computer Assisted Radiology and Surgery
UR - http://dx.doi.org/10.1007/s11548-018-1717-7
UR - https://www.ncbi.nlm.nih.gov/pubmed/29516353
UR - http://hdl.handle.net/10044/1/58453
VL - 13
ER -