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SMart rObOTs for fire-figHting

Project information

Grant agreement ID: 734875

Status

Ongoing project

  • Start date

    1 March 2017

  • End date

    28 February 2021

Funded under:

H2020-EU.1.3.3.

  • Overall budget:

    € 909 000

  • EU contribution

    € 513 000

Coordinated by:

BOURNEMOUTH UNIVERSITY

United Kingdom

Objective

Over the years, changes in modern infrastructure have introduced new challenges to firefighting practices. Training and research programs have been developed to manage these challenges but there are still significant losses from fires each year. In 2013 alone, the fire departments in the USA responded to over 1.2 million fires which resulted in about 3,420 civilian fatalities, 15,925 injuries and property losses of about $12.4 billion dollars. In the UK, 192,600 fires responses, approximately 350 civilian fatalities, 10,300 injuries. The firefighting and rescue functions of the existing equipment and apparatus and their dexterity are limited, particularly in the harsh firefighting environments. The SMOOTH project aims to propose a novel robot-assisted decision making system in smart firefighting to perform searching and rescuing practice in the fire ground, and to facilitate the decision makings with higher efficiency.

In the proposed system, a dexterous group of autonomous robots will be ingested, including an Octopus robot developed by SJTU with dexterous robotic upper body developed (with functions of high payload, forcible entry, excavation, obstacle avoidance and sweeping), a group of jumping robots invented by BU and YSU (with functions of obstacle avoidance) and a swarm of capsule systems invented by BU (with functions of precise positioning, narrow openings maneuveration and manipulation). A bunch of novel wearable and environmental sensors will be assembled and equipped on the robots and firefighter’s protection suits to facilitate the real-time machine-to-machine communications. A 3-D human-robot interactions infrastructure will be created to facilitate efficient interactions between human adaptive mechatronics and adaptive networked control. Based on these concepts, the consortium will investigate the needs and key technologies such as hybrid autonomous and miniaturized robotic modules, wireless sensor technologies, advanced decision support algorithms,

Coordinator

BOURNEMOUTH UNIVERSITY

Address

Fern Barrow Bournemouth University
Bh12 5bb Poole

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 189 000

Participants (4)

INSTITUTUL DE MECANICA SOLIDELOR

Romania

EU Contribution

€ 189 000

ROBOTNIK AUTOMATION SLL

Spain

EU Contribution

€ 45 000

STIMPEX SA

Romania

EU Contribution

€ 45 000

CEDRAT TECHNOLOGIES SA

France

EU Contribution

€ 45 000

Partners (3)

SHANGHAI JIAO TONG UNIVERSITY

China

INSTITUTE OF AUTOMATION CHINESE ACADEMY OF SCIENCES

China

YANSHAN UNIVERSITY

China

Project information

Grant agreement ID: 734875

Status

Ongoing project

  • Start date

    1 March 2017

  • End date

    28 February 2021

Funded under:

H2020-EU.1.3.3.

  • Overall budget:

    € 909 000

  • EU contribution

    € 513 000

Coordinated by:

BOURNEMOUTH UNIVERSITY

United Kingdom