
PILZ GMBH & CO. KG
PILZ GMBH & CO. KG
3 Projects, page 1 of 1
Open Access Mandate for Publications assignment_turned_in Project2013 - 2019Partners:Vitirover SAS, INSTEAD, TECHNOLOGIES FOR HELPING PEOPLE SL, FHG, CORGHI SPA, Goa University +106 partnersVitirover SAS,INSTEAD, TECHNOLOGIES FOR HELPING PEOPLE SL,FHG,CORGHI SPA,Goa University,UPC,UPO,GRL,KUL,HSJD,MARSI BIONICS,IDELT,STENA RECYCLING AS,FUNDACIO CECOT INNOV,TECHNODEAL SRL,UNIMORE,University of Nantes,Sorbonne University,Sapienza University of Rome,AGCO GmbH,EKYMED,CNRS,AQUAS,Avular B.V.,MLAB,AP-HP,ČVUT,University of Seville,FCC,HMW,UTT,University of Bremen,FASTENICA SRL,IT+Robotics (Italy),BCASA,ACCEL,IIT,Centre Hospitalier Régional Universitaire de Brest,CUT,TECNALIA,CSIC,CDD M.E.P.E.,UMA,UWE,WU,ROBOTECH SRL,INGRO MAQUINARIA SL,FLEXIBLE ROBOTIC SOLUTIONS,IIIM,IMER INTERNATIONAL SPA,PILZ GMBH & CO. KG,ECA ROBOTICS,CNR,Skybotix AG,KIT,Idrogenet srl,University of Campania "Luigi Vanvitelli",SSSUP,IMT,BLUE OCEAN ROBOTICS,TUM,Scape Technologies A/S,EURECAT,CMLABS,INLOC ROBOTICS,UNIBO,UL,AIRBUS OPERATIONS SL,Carl Cloos Schweißtechnik (Germany),CERTH,RFND TECHNOLOGIES AB,SAS,CEIT,MOOG CONTROLS LIMITED,UPMC,FACHHOCHSCHULE ULM,SHADOW,DTI,EPFL,IK4-TEKNIKER,ROBOX,EPFZ,HELIKAS ROBOTICS LTD,ALUMINIUM PECHINEY,Bielefeld University,Ajuntament de Barcelona,UMH,GENERATION ROBOTS,CEA,PRE GEL SPA,AEA,SIMTECH DESIGN SL,STRAUSS,E80,IDMIND - ENGENHARIA DE SISTEMAS LDA,Consorci Sanitari Garraf,ROBOSOFT Services Robots,I.E.M.A. SRL,FABRICA 136 SRL,ROBOTNIK,TECNOVA,NRPI,Polytechnic University of Milan,IBAK Helmut Hunger GmbH & Co. KG,ARTIMINDS ROBOTICS GMBH,LEIBNIZ-INSTITUT FUER AGRARTECHNIK POTSDAM-BORNIM EV (ATB),ANSALDO NES,IRT Jules Verne,C.WRIGHT & SON GEDNEY LTD,Carlos III University of Madrid,UNIPRFunder: European Commission Project Code: 601116more_vert assignment_turned_in ProjectPartners:Max-Eyth-Schule Stuttgart, PILZ GMBH & CO. KG, Institut Lacetània, CENCAL, FUNDACIÓ LACETÀNIAMax-Eyth-Schule Stuttgart,PILZ GMBH & CO. KG,Institut Lacetània,CENCAL,FUNDACIÓ LACETÀNIAFunder: European Commission Project Code: 2019-1-DE02-KA202-006099Funder Contribution: 152,696 EURThe 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.
more_vert Open Access Mandate for Publications assignment_turned_in Project2018 - 2022Partners:IMA, SUPSI, FHG, TNO, VINTIV +9 partnersIMA,SUPSI,FHG,TNO,VINTIV,PILZ GMBH & CO. KG,WHIRLPOOL EMEA SPA,DATASENSING SRL,DATALOGIC SRL,SCS,UNIMORE,CORE,CRIT,IRISFunder: European Commission Project Code: 818087Overall Budget: 7,978,180 EURFunder Contribution: 7,978,180 EURThe 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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