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CORDIS

Developmental pathway towards autonomy and dexterity in robot in-hand manipulation

Project description


Cognitive Systems, Interaction, Robotics
Handling with the efficiency of humans
Today’s robots are unable to achieve a high level of dexterous and fine manipulation, especially when this requires in-hand manipulation. The HANDLE project aims at understanding how humans perform the manipulation of objects in order to replicate grasping and skilled in-hand movements with an anthropomorphic artificial hand, and thereby move robot grippers from current best practice towards more autonomous, natural and effective articulated hands. The goal is to endow the proposed robotic hand with advanced perception capabilities, high level feedback control and elements of intelligence that allow recognition of objects and context, reasoning about actions and a high degree of recovery from failure during the execution of dexterous tasks.

The field of robotics is undergoing a major revolution as it is increasingly being applied to general purposes outside the production line: for health, rehabilitation and professional services, in domestic and leisure environments, as well as hazardous environments. There, one keystone for robots to carry out accurate and intelligent tasks, with and for people, is their ability both to handle autonomously all sorts of objects and to use human tools. However, today's robots are unable to achieve dexterous and fine manipulation, especially when this requires in-hand manipulation. They are far from being able to understand and reason about their environments, their goals and their own capabilities, to learn skills and improve their performance by what they have been taught and their own experience, to interact with their environments with the efficiency of humans.The HANDLE project aims at understanding how humans perform the manipulation of objects in order to replicate grasping and skilled in-hand movements with an anthropomorphic artificial hand, and thereby move robot grippers from current best practice towards more autonomous, natural and effective articulated hands. The project implies not only focusing on technological developments but also working with fundamental multidisciplinary research aspects in order to endow the robotic hand system with advanced perception capabilities, high level feedback control and elements of intelligence that allow recognition of objects and context, reasoning about actions and a high degree of recovery from failure during the execution of dexterous tasks.Integrating findings from disciplines such as neuroscience, developmental psychology, cognitive science, robotics, multimodal perception and machine learning, the method we will develop is based on an original blend of learning and predicting behaviours from imitation and "babbling" to allow the robot to be capable of responding to gaps in its knowledge.

Call for proposal

FP7-ICT-2007-3
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Coordinator Contact

Véronique PERDEREAU Prof.

Coordinator

UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6
EU contribution
€ 1 131 750,00
Address
Place Jussieu 4
75252 PARIS
France

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Activity type
Higher or Secondary Education Establishments
Administrative Contact
Véronique Perdereau (Prof.)
Links
Total cost
No data

Participants (9)