Gaze Estimation in Human-Robot Interaction Using NICO Platform
Gaze Estimation for Human-Robot Interaction: Analysis Using the NICO Platform
Study evaluates gaze estimation methods in shared workspace HRI. Dataset from NICO platform shows median error of 14.57 cm, highlighting current method limitations.
Source: arXiv Robotics — research abstracts · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
best median error
14.57
distance in the shared workspace
14.57
View original evidence
when expressed in terms of distance in the shared workspace the best median error is 14.57~cm
Open source S3cm
14.57
state-of-the-art gaze estimation models
4
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
arXiv:2509.24001v3 Announce Type: replace-cross Abstract: This paper evaluates the current gaze estimation methods within a human-robot interaction (HRI) context of a shared workspace scenario. We introduce a new, annotated dataset collected with the NICO robotic platform. We evaluate four state-of-the-art gaze estimation models. The evaluation shows that the angular errors are close to those reported on general-purp
Open source S2
ose benchmarks. However, when expressed in terms of distance in the shared workspace the best median error is 14.57~cm, quantifying the practical limitations of current methods. We conclude by discussing these limitations and offering recommendations on how to best integrate gaze estimation as a modality in HRI systems.
Open source S3
Source：arXiv Robotics — research abstracts · arxiv.org