AI RESEARCH
MobileEgo Anywhere: Open Infrastructure for long horizon egocentric data on commodity hardware
arXiv CS.CL
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ArXi:2605.05945v1 Announce Type: cross The recent advancement of Vision Language Action (VLA) models has driven a critical demand for large scale egocentric datasets. However, existing datasets are often limited by short episode durations, typically spanning only a few minutes, which fails to capture the long horizon temporal dependencies necessary for complex robotic task execution. To bridge this gap, we present MobileEgo Anywhere, a framework designed to facilitate the collection of robust, hour plus egocentric trajectories using commodity mobile hardware.