Sarah Spurgeon — accepted AI-conference papers

2021

Dynamic modelling and visco-elastic parameter identification of a fibre-reinforced soft fluidic elastomer manipulator

Azadeh Shariati, Jialei Shi, Sarah Spurgeon, Helge A Wurdemann

IROS 2021poster

A dynamic model of a soft fibre-reinforced fluidic elastomer is presented and experimentally verified, which can be used for model-based controller design. Due to the inherent visco-(hyper)elastic characteristics and nonlinear time-dependent behaviour of soft fluidic elastomer robots, analytic dynam…

Cited by 13 Source ↗Scholar ↗

2019

Actuation and stiffening in fluid-driven soft robots using low-melting-point material

Jan Peters, Erin Nolan, Mats Wiese, Mark Miodownik, Sarah Spurgeon, Alberto Arezzo +2

IROS 2019poster

Soft material robots offer a number of advantages over traditional rigid robots in applications including human-robot interaction, rehabilitation and surgery. These robots can navigate around obstacles, elongate, squeeze through narrow openings or be squeezed - and they are considered to be inherent…

Cited by 41 Source ↗Scholar ↗