Gaze Estimation for Human-Robot Interaction: Analysis Using NICO Platform
Overview
A study evaluates gaze estimation methods in HRI using the NICO platform, reporting a median error of 14.57 cm, indicating current method limitations in shared workspace interactions. arXiv:2509.24001v3 (2026-10-09).
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Event evidence and corrections
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Reported quantity · best median error: 14.57 other · Basis not reported
“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.”
Exact source · revision 1Source owner not reported
Reported quantity · distance in the shared workspace: 14.57 other · Basis not reported
“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.”
Exact source · revision 1Source owner not reported
Reported quantity · cm: 14.57 other · Basis not reported
“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.”
Exact source · revision 1Source owner not reported
Reported quantity · state-of-the-art gaze estimation models: 4 other · Basis not reported
“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”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsGaze Estimation in Human-Robot Interaction Using 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.
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