Cognitive approach for representing the haptic physical human-humanoid interaction
Identifieur interne : 001629 ( Main/Merge ); précédent : 001628; suivant : 001630Cognitive approach for representing the haptic physical human-humanoid interaction
Auteurs : Antoine Bussy [France]Source :
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English descriptors
Abstract
Robots are very close to arrive in our homes. But before doing so, they must master safe and efficient physical interaction with humans. Such capacities are essential for them to live among us, and assit us in various everyday tasks, such as carrying heavy and cumbersome objects. In this thesis, we focus on endowing the biped humanoid robot HRP-2 with the capacity to perform haptic joint actions with humans. First, we study how human dyads collaborate to transport a cumbersome object. From this study, we define a global motion primitives' model that we use to implement a proactive behavior on the HRP-2 robot, so that it can perform the same task with a human. Then, we assess the performances of our proactive control scheme by perfoming user studies. Finally, we expose several potential extensions to our work: self-stabilization of a humanoid through physical interaction, generalization of the motion.
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<front><div type="abstract" xml:lang="en">Robots are very close to arrive in our homes. But before doing so, they must master safe and efficient physical interaction with humans. Such capacities are essential for them to live among us, and assit us in various everyday tasks, such as carrying heavy and cumbersome objects. In this thesis, we focus on endowing the biped humanoid robot HRP-2 with the capacity to perform haptic joint actions with humans. First, we study how human dyads collaborate to transport a cumbersome object. From this study, we define a global motion primitives' model that we use to implement a proactive behavior on the HRP-2 robot, so that it can perform the same task with a human. Then, we assess the performances of our proactive control scheme by perfoming user studies. Finally, we expose several potential extensions to our work: self-stabilization of a humanoid through physical interaction, generalization of the motion.</div>
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