Opendata, web and dolomites

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

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "I.AM." project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.)

Smart2Go (2019)

Smart and Flexible Energy Supply Platform for Wearable Electronics

Read More  

AMPERE (2020)

A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation

Read More  

5G-COMPLETE (2019)

A unified network, Computational and stOrage resource Management framework targeting end-to-end Performance optimization for secure 5G muLti-tEchnology and multi-Tenancy Environments

Read More