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I.AM. SIGNED

Impact Aware Manipulation by Dexterous Robot Control and Learning in Dynamic Semi-Structured Logistic Environments

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 I.AM. project word cloud

Explore the words cloud of the I.AM. project. It provides you a very rough idea of what is the project "I.AM." about.

unprecedented    validated    unexpected    framework    boxing    learning    simulator    dynamic    up    grabbing    contact    am    cycle    grow    close    bin    market    velocity    post    conjunction    shorter    brings    lines    incorporating    booming    models    events    generates    generating    area    robotics    breakthroughs    drivers    inherent    physical    economical    sensing    technological    withstand    model    socio    components    manipulation    proximity    scenarios    logistics    impacts    validating    deployment    times    europe    robustly    fast    endowing    predict    requiring    exponentially    paradigm    relies    force    leadership    commerce    10    belt    coming    depalletizing    robot    accurate    domain    distinguish    scientific    develops    labor    sense    time    provides    actuation    robots    desired    planning    demonstrating    strengthens    experimentally    leverages    offers    object    torque    scarcity    progress    intentional    interaction    scenario    tossing    environment    speed    realistic    modeling   

Project "I.AM." data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT EINDHOVEN 

Organization address
address: GROENE LOPER 3
city: EINDHOVEN
postcode: 5612 AE
website: www.tue.nl/en

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 4˙585˙485 €
 EC max contribution 4˙357˙985 € (95%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) coordinator 979˙195.00
2    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 819˙075.00
3    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 795˙925.00
4    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 724˙406.00
5    ALGORYX SIMULATION SE (UMEA) participant 383˙550.00
6    SMART ROBOTICS BV NL (OISTERWIJK) participant 371˙458.00
7    FRANKA EMIKA GmbH DE (MUNICH) participant 284˙375.00
8    VANDERLANDE INDUSTRIES BV NL (VEGHEL) participant 0.00

Map

 Project objective

Europe is leading the market of torque-controlled robots. These robots can withstand physical interaction with the environment, including impacts, while providing accurate sensing and actuation capabilities. I.AM leverages this technology and strengthens European leadership by endowing robots to exploit intentional impacts for manipulation. I.AM focuses on impact aware manipulation in logistics, a new area of application for robotics which will grow exponentially in the coming years, due to socio-economical drivers such as booming of e-commerce and scarcity of labor. I.AM relies on four scientific and technological research lines that will lead to breakthroughs in modeling, sensing, learning and control of fast impacts: 1) I.Model offers experimentally validated accurate impact models, embedded in a highly realistic simulator to predict post-impact robot states based on pre-impact conditions; 2) I.Learn provides advances in planning and learning for generating desired control parameters based on models of uncertainties inherent to impacts; 3) I.Sense develops an impact-aware sensing technology to robustly assess velocity, force, and robot contact state in close proximity of impact times, allowing to distinguish between expected and unexpected events; 4) I.Control generates a framework that, in conjunction with the realistic models, advanced planning, and sensing components, allows for robust execution of dynamic manipulation tasks. This integrated paradigm, I.AM, brings robots to an unprecedented level of manipulation abilities. By incorporating this new technology in existing robots, I.AM enables shorter cycle time (10%) for applications requiring dynamic manipulation in logistics. I.AM will speed up the take-up and deployment in this domain by validating its progress in three realistic scenarios: a bin-to-belt application demonstrating object tossing, a bin-to-bin application object fast boxing, and a case depalletizing scenario demonstrating object grabbing.

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The information about "I.AM." are provided by the European Opendata Portal: CORDIS opendata.

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