Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction 2024
DOI: 10.1145/3610978.3640648
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Improving Visual Perception of a Social Robot for Controlled and In-the-wild Human-robot Interaction

Wangjie Zhong,
Leimin Tian,
Duy Tho Le
et al.

Abstract: Social robots often rely on visual perception to understand their users and the environment. Recent advancements in data-driven approaches for computer vision have demonstrated great potentials for applying deep-learning models to enhance a social robot's visual perception. However, the high computational demands of deep-learning methods, as opposed to the more resource-efficient shallow-learning models, bring up important questions regarding their effects on real-world interaction and user experience. It is u… Show more

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