CEHEUAS

CEHEAS

Formation control of collaborative robots to explore and characterise underwater nuclear storage facilities. Heterogeneous multi-agent system designed to map its surroundings and gather data. The system will use the attenuation of wireless signals, caused by water, to calculate the position between the members of the flock

KEY FEATURES

TITLE

Collaborative Exploration of Hazardous Environments using Autonomous Systems

[CEHEAS]

PROJECT TYPE

PHD

FUNDER

SELLAFIELD LTD

DATE

Sep 2014 – Sep 2017

JOSE ESPINOSA BENG

Doctoral Research Student

His research focuses on developing a positioning system and formation control for a flock of underwater autonomous vehicles. This is being applied to explore underwater nuclear storage facilities in a more efficient and robust way. Current technology is limited to single tethered vehicles without a localisation system.

Sackville, University of Manchester, Manchester, UK

joseluis.espinosamendoza@manchester.ac.uk

 

OFFICE

EMAIL

SUPPORTED BY

Developing the next generation of nuclear decommissionning robotics research. Working in partnership with the nuclear sector and other unverisities around the UK and EU to reduce risk, accelerate productivity an reduce long term costs .

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School of Electrical and Electronic Engineering,

The University of Manchester, Sackville Street Building, Manchester, M13 9PL

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