The ability to anticipate others' goals and intentions is at the basis of human-human social interaction. Such ability, largely based on non-verbal communication, is also a key to having natural and pleasant interactions with artificial agents, like robots. In this work, we discuss a preliminary experiment on the use of head pose as a visual cue to understand and anticipate action goals, particularly reaching and transporting movements. By reasoning on the spatio-temporal connections between the head, hands and objects in the scene, we will show that short-range anticipation is possible, laying the foundations for future applications to human-robot interaction.
@article{arxiv.2408.05516,
title = {Anticipation through Head Pose Estimation: a preliminary study},
author = {Federico Figari Tomenotti and Nicoletta Noceti},
journal= {arXiv preprint arXiv:2408.05516},
year = {2024}
}
Comments
Accepted at the workshop on advancing Group Understanding and robots' adaptive behavior (GROUND), held at the Robotics Science and Systems (RSS) Conference, 2024