HANDLE
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Updated: 12 May 2015 - 11:58pm by M. Abderrahim
Start:2009 / End:2013
Principal investigator: Mohamed Abderrahim
Funder:
EU 7th Framework Programme
Developmental pathway towards autonomy and dexterity in robot in-hand manipulation.
HANDLE is a Large-Scale Integrated Project funded by the EU within the 7th Framework Programme. The consortium is formed by nine partners from six EU countries: UPMC-coordinator-France, Shadow Robot Company-UK,
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.