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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.

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

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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