From human-intention recognition to
compliant control using dynamical systems
in physical human-robot interaction
Publications associées (130)
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In this work, we present an adaptive motion planning approach for impedance-controlled robots to modify their tasks based on human physical interactions. We use a class of parameterized time-independent dynamical systems for motion generation where the mod ...
In this work, we present an adaptive motion planning approach for impedance-controlled robots to modify their tasks based on human physical interactions. We use a class of parameterized time-independent dynamical systems for motion generation where the mod ...
The goal of this special issue is to document and highlight recent progress in robot learning for human–robot collaboration (HRC), covering a diversity of articles that reflect the state-of-the-art in the field. Following an open call for papers, we receiv ...
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Accomplishment of many interactive tasks hinges on the compliance of humans. Humans demonstrate an impressive capability of complying their behavior and more particularly their motions with the environment in everyday life. In humans, compliance emerges fr ...
Accomplishment of many interactive tasks hinges on the compliance of humans. Humans demonstrate an impressive capability of complying their behavior and more particularly their motions with the environment in everyday life. In humans, compliance emerges fr ...
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