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PILZ GMBH & CO. KG

Country: Germany

PILZ GMBH & CO. KG

3 Projects, page 1 of 1
  • Funder: European Commission Project Code: 601116
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  • Funder: European Commission Project Code: 2019-1-DE02-KA202-006099
    Funder Contribution: 152,696 EUR

    The topic of Industry 4.0 in schools is very important for the whole of Europe. In the German vocational school system, many considerations have already been made on the implementation in the classroom, not least due to the establishment of the learning factories in Baden-Wuerttemberg. The Erasmus + project INDU 4.0 (Industrial Interaction 4.0) made it possible to exchange these ideas with our European partners.The aim of the INDU 4.0 project was, as a first step, to introduce the learners to the term Industry 4.0 and to bring it to life. In the second step, competencies were imparted which are up-to-date and useful in both Industry 4.0. In communicating knowledge, great importance has been placed on providing learners with the requirements of lifelong learning in the rapidly evolving industry. The lessons use modern methods and techniques.The Erasmus + project INDU 4.0 involves three vocational schools in the field of automation technology (Germany, Spain and Portugal are represented), as well as the company Pilz, which has developed an Industry 4.0 demonstration plant, and the State Institute for School Development.

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  • Funder: European Commission Project Code: 818087
    Overall Budget: 7,978,180 EURFunder Contribution: 7,978,180 EUR

    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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