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RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing

Objective

The ROSSINI project aims to develop a disruptive, inherently safe hardware-software platform for the design and deployment of human-robot collaboration (HRC) applications in manufacturing. By combining innovative sensing, actuation and control technologies (developed by world market leaders in their field), and integrating them in an open development environment, the ROSSINI platform will deliver a set of tools which will enable the spread of HRC applications where robots and human operators will become members of the same team, increasing job quality, production flexibility and productivity.

Thanks to enhanced robot sensing capabilities, the deployment of artificial intelligence to optimise productivity and safety, and natively collaborative manipulation technologies, ROSSINI will deliver high performance HRC workcells, combining the safety of traditional cobots with the working speed and payloads of industrial robots.

The ROSSINI research lines will this be: 
SENSING: A high performance Smart and Safe Sensor System for human and robot detection & tracking, capable of quickening sensors response time by 70%
CONTROL: A safety aware control architecture for robot dynamic reconfiguration, capable of reducing robot task execution time by 45%
ACTUATION: An innovative, collaborative by birth robot manipulator, to be marketed through the ROSSINI platform, capable of increasing the working speed when collaborating with humans by 45%
HUMAN FACTORS: Human factors analysis for mutual predictability of robot and human intentions, capable of increasing job quality index by 15%
RISK ASSESSMENT: A risk assessment procedure based on new interpretation of collision values, capable of reducing (combined with other results) by 30% the time and cost of reconfiguration, and increasing the allowed robot working speed by 20%

The research lines will be combined into 3 demonstrators (white goods, electronic equipment, and food packaging).
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Coordinator

DATALOGIC SRL

Address

Via San Vitalino 13
40012 Calderara Di Reno

Italy

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 1 334 000

Participants (12)

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PILZ GMBH & CO. KG

Germany

EU Contribution

€ 1 229 500

UNIVERSITA DEGLI STUDI DI MODENA E REGGIO EMILIA

Italy

EU Contribution

€ 596 250

IRIS TECHNOLOGY SOLUTIONS, SOCIEDAD LIMITADA

Spain

EU Contribution

€ 472 375

SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA

Switzerland

EU Contribution

€ 1 357 900

NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO

Netherlands

EU Contribution

€ 400 625

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 384 088,75

INDUSTRIELE MECHANISATIE OF AUTOMATISATIE NV

Belgium

EU Contribution

€ 281 250

Centro di Ricerca e Innovazione tecnologica srl

Italy

EU Contribution

€ 388 437,50

CORE INNOVATION AND TECHNOLOGY OE

Greece

EU Contribution

€ 218 750

WHIRLPOOL EMEA SPA

Italy

EU Contribution

€ 402 500

SCHINDLER SUPPLY CHAIN EUROPE AG

Switzerland

EU Contribution

€ 350 000

I.M.A. INDUSTRIA MACCHINE AUTOMATICHE SPA

Italy

EU Contribution

€ 562 500

Project information

Grant agreement ID: 818087

Status

Ongoing project

  • Start date

    1 October 2018

  • End date

    31 March 2022

Funded under:

H2020-EU.2.1.5.1.

  • Overall budget:

    € 7 978 176,25

  • EU contribution

    € 7 978 176,25

Coordinated by:

DATALOGIC SRL

Italy