Objectives

 

The project attempts to build a bridge from research on natural cognition to research on artificial cognition, as it will primarily contribute to the development of dual-arm/hand robotic systems operating with a high degree of autonomy. The key innovations are:

 

 

development of original approaches to interpretation, learning, and modelling, from the observation of human manipulatioon at different levels of abstraction;


 

development of novel techniques for task planning, coordination and execution so as to confer to the robotic system self-adapting capabilities and reactivity to changing environment and unexpected situations, also in the case of humans cooperating with it;

 

design of effective control strategies for a dual-hand/arm robot manipulator that can be easily parameterised so as to preserve smoothness during the transitions at the contact with objects;

 

 

design and development of new actuators and sensors, as well as mechanical structures and materials;

 

 

development of meaningful benchmarks for dual-hand manipulation.

 

 

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Best scientific computer science PhD thesis of 2012 01.08.2013

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