From human-intention recognition to
compliant control using dynamical systems
in physical human-robot interaction
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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 ...
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 ...
Many daily life tasks require precise control when making contact with surfaces. Ensuring a smooth transition from free motion to contact is crucial as incurring a large impact force may lead to unstable contact with the robot bouncing on the surface, i.e. ...
Bio-inspired designs are motivated by efficiency, adaptability and robustness of biological systems dynamic behaviors in complex environment. Despite progress in design, the lack of sensory-motor and learning capabilities is the main drawback of human-like ...
Continual developments in robotic technology have enabled the use of robots in everyday applications in domestic, office and public spaces. Although single robot problems have been the main focus of social robotics research, applications of robots in socia ...
The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. The full-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to design ...
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 ...
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 order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one ...