FLEXIBLEROBOTBEHAV

Flexible Behaviors for Humanoid Robots and Digital Humans

 Coordinatore INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE 

 Organization address address: Domaine de Voluceau, Rocquencourt
city: LE CHESNAY Cedex
postcode: 78153

contact info
Titolo: Mr.
Nome: Cedric
Cognome: Di Tofano Orlando
Email: send email
Telefono: -476615458
Fax: -476615422

 Nazionalità Coordinatore France [FR]
 Totale costo 215˙530 €
 EC contributo 215˙530 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2007-4-1-IOF
 Funding Scheme MC-IOF
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-06-01   -   2011-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE

 Organization address address: Domaine de Voluceau, Rocquencourt
city: LE CHESNAY Cedex
postcode: 78153

contact info
Titolo: Mr.
Nome: Cedric
Cognome: Di Tofano Orlando
Email: send email
Telefono: -476615458
Fax: -476615422

FR (LE CHESNAY Cedex) coordinator 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

scientific    robots    team    humanoid    humans    algorithms    services    industrial    manipulation    indeed    obtain    generation    flexiblerobotbehav    safe    human    laws    robotics    manipulator    years    directly    motion    locomotion    versatile    digital    training    robot    walking    interaction    vision    industry   

 Obiettivo del progetto (Objective)

'The main application considered in this research and training project is walking humanoid robots, a second application being digital humans. The core scientific and technological results should however have a strong impact on other fields such as industrial manipulator robots. Indeed, the main objective of this research and training project is to enhance the algorithms and control laws of existing humanoid robots in order to obtain a walking behavior versatile and safe enough to be integrated into higher level tasks such as manipulation, vision, tele-operation, interaction with humans, which all require a strong capacity to face unforeseen events in an efficient way. But the objective is to solve this problem with a solution general enough to be applied also to the case of manipulator robots.'

Introduzione (Teaser)

Getting robots to think and see like humans has been a daunting task for scientists and developers. Now, new technology is helping to achieve this with numerous applications for industry and services.

Descrizione progetto (Article)

In coming decades, human-like robots may be a valid part of the future, assisting in many tasks and services. Studies by the United Nations Economic Commission for Europe (UNECE) and the Japan Robot Association (JARA) indicate that robotics may indeed become a major industry worldwide.

While robots can now undertake repetitive, well-defined tasks, future humanoid robots will set the stage for more advanced technology that can be integrated in industrial manipulator robots. The EU-funded 'Flexible behaviours for humanoid robots and digital humans' (Flexiblerobotbehav) project is developing walking humanoid robots and digital humans. The project is enhancing the algorithms and laws of existing humanoid robots to obtain versatile walking behaviour. The end product must be safe enough for tasks such as manipulation, vision, teleoperation and interaction with humans.

Such advances allow more autonomous robots to undertake increasingly complex interactions with less controlled environments, a concept known as service robotics. Before this technology can progress significantly, numerous complex scientific and technical problems must be addressed: actuation, sensor technology, vision, mechanical design, control theory and computer science.

Already, Flexiblerobotbehav has designed a robot featuring full walking motion generation, which decides automatically when and where to make a step. It has also connected the robot's walking motion generation directly with vision processes, orchestrating the locomotion of the robot directly from its vision of the environment. In addition, the project team has begun experimenting on interaction with humans and has proposed technology that allows the robot to decipher the locomotion of a human and even predict it one step ahead of time.

With respect to complex tasks and required software, the project team has extended and upgraded the classical algorithms introduced 20 years ago for kinematic control of redundant robotic movement. These new advances allow the robot to avoid obstacles more efficiently and extremely quickly.

The advances bode well for highly automated robots that hopefully a few years down the line will be able to assist us in a number of tasks, industries and services.

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