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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.

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

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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