James Housden — accepted AI-conference papers

2021

Towards Standardized Acquisition With a Dual-Probe Ultrasound Robot for Fetal Imaging

James Housden, Shuangyi Wang, Xianqiang Bao, Jia Zheng, Emily Skelton, Jacqueline Matthew +5

RA-L 2021

Standardized acquisitions and diagnoses using robots and AI would potentially increase the general usability and reliability of medical ultrasound. Working towards this prospect, this paper presents the recent developments of a standardized acquisition workflow using a novel dual-probe ultrasound ro

Cited by 28 Source ↗Scholar ↗

2016

A new miniaturised multi-axis force/torque sensors based on optoelectronic technology and simply-supported beam

Yohan Noh, Joao Bimbo, Agostino Stilli, Helge Wurdemann, Hongbin Liu, James Housden +2

IROS 2016poster

This paper presents a methodology for the development of a multi-axis force/torque sensor based on optoelectronic technology. The advantages of using this sensing principle are the low manufacturing costs, the simple fabrication, and the immunity to electrical noise. The force/ torque sensor makes u…

Cited by 7 Source ↗Scholar ↗