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To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
In addition to following user instructions, Attentive Support is capable of deciding when and how to support the humans, and when to remain silent to not disturb the group.
CoPAL: Corrective Planning of Robot Actions with Large Language Models
In the pursuit of fully autonomous robotic systems capable of taking over tasks traditionally performed by humans, the complexity of open-world environments poses a considerable challenge.
Gaze-based intention estimation: principles, methodologies, and applications in HRI
Intention prediction has become a relevant field of research in Human-Machine and Human-Robot Interaction.
Intention estimation from gaze and motion features for human-robot shared-control object manipulation
Here, an intention estimation framework is presented, which uses natural gaze and motion features to predict the current action and the target object.
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