Learning interaction protocols by mimicking understanding and reproducing human interactive behavior
Four phases system for learning human interactive behavior is proposed. The system is based on constrained motif discovery for basic action discovery. Controller generation is achieved through a piecewise-linear control generator. Models learned from interacting with multiple people can be combined. A real-world experiment is reported as a proof-of-concept.
hri social robotics guided navigation learning from demonstrations