activity
20172022
most citedIdentification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

4 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20224 cited

Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning

Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik +8

The operating room (OR) is a dynamic and complex environment consisting of a multidisciplinary team working together in a high take environment to provide safe and efficient patien…

cs.RO2019

Shape Sensing of Variable Stiffness Soft Robots using Electrical Impedance Tomography

James Avery, Mark Runciman, Ara Darzi +1

Soft robotic systems offer benefits over traditional rigid systems through reduced contact trauma with soft tissues and by enabling access through tortuous paths in minimally invas…

cs.RO2018

Free-View, 3D Gaze-Guided, Assistive Robotic System for Activities of Daily Living

Ming-Yao Wang, Alexandros A. Kogkas, Ara Darzi +1

Patients suffering from quadriplegia have limited body motion which prevents them from performing daily activities. We have developed an assistive robotic system with an intuitive…

cs.RO2017

Surgical task-space optimisation of the CYCLOPS robotic system

T. J. C. Oude Vrielink, Y. W. Pang, M. Zhao +3

The CYCLOPS is a cable-driven parallel mechanism used for minimally invasive applications, with the ability to be customised to different surgical needs; allowing it to be made pro…

cs.RO20171 cited

A cable-driven parallel manipulator with force sensing capabilities for high-accuracy tissue endomicroscopy

Kiyoteru Miyashita, Timo Oude Vrielink, George Mylonas

This paper introduces a new surgical end-effector probe, which allows to accurately apply a contact force on a tissue, while at the same time allowing for high resolution and highl…