RABOT

Real-time adaptive networked control of rescue robots

Coordinatore	BOURNEMOUTH UNIVERSITY    more  Organization address address: Fern Barrow city: "POOLE,DORSET" postcode: BH12 5BB contact info Titolo: Dr. Nome: Shuang Cognome: Cang Email: send email Telefono: 441203000000
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	310˙800 €
EC contributo	310˙800 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2012-IRSES
Funding Scheme	MC-IRSES
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-07-02   -   2016-07-01

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	BOURNEMOUTH UNIVERSITY  Organization address address: Fern Barrow city: "POOLE,DORSET" postcode: BH12 5BB contact info Titolo: Dr. Nome: Shuang Cognome: Cang Email: send email Telefono: 441203000000	UK ("POOLE,DORSET")	coordinator	142˙800.00
2	INSTITUTUL DE MECANICA SOLIDELOR  Organization address address: STRADA CONSTANTIN MILLE 15 city: BUCURESTI postcode: 10141 contact info Titolo: Prof. Nome: Luige Cognome: Vladareanu Email: send email Telefono: 40213126736	RO (BUCURESTI)	participant	107˙100.00
3	STAFFORDSHIRE UNIVERSITY.  Organization address address: Beaconside Campus city: STAFFORD postcode: ST18 0AD contact info Titolo: Mr. Nome: Sam Cognome: Wane Email: send email Telefono: 441785000000	UK (STAFFORD)	participant	60˙900.00

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 Obiettivo del progetto (Objective)

'The network consists of 2 EU universities, 1 EU research centre, 2 Chinese universities and 1 Chinese research centre. This project aims to foster new partnerships, in particular with the research institutes in China and to reinforce the existing collaborations. The project has two aims - S&T aim and international knowledge transfer aim to create an international consortium in robotics for rescue and recovery operations. The S&T aim is to investigate the challenges in the rescue and recovery operations and design/develop a novel autonomous hybrid legged-wheeled robot with a high payload, large force and ability to adapt to uncertain environments. The knowledge transfer aim is to create a long term, sustainable and strategic partnership so as to reinforce theoretical, technical and practical skills of researchers from both EU and China in robotics. The EU partners who are good at computational intelligence, modelling, control, 3D virtual simulation, and software development will learn experimental skills in the world-class robotics research labs in China, while the Chinese partners who are good at hardware developments and mechatronics design will learn research methodologies and cultures at the EU partners’ labs. Therefore the project is expected to provide solid foundations to create long term research collaboration.'