Data-driven architecture to encode information in the kinematics of robots and artificial avatars

arXiv:2403.06557v1 Announce Type: cross
Abstract: We present a data-driven control architecture for modifying the kinematics of robots and artificial avatars to encode specific information such as the presence or not of an emotion in the movements of an avatar or robot driven by a human operator. We validate our approach on an experimental dataset obtained during the reach-to-grasp phase of a pick-and-place task.

abstract architecture artificial arxiv avatar avatars control cs.lg cs.ro cs.sy data data-driven eess.sy emotion encode human information movements robot robots type