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Joga demonstrates agile humanoid soccer on a Unitree G1 using an actuated neck and residual models to close the sim-to-real gap for both perception and actuation, enabling dribbling, tight turns, and receive→dribble→shoot sequences with fully onboard perception. This is a significant step toward general-purpose humanoid locomotion and active spatial perception in unstructured environments.
In this episode of Embodied AI 101, we explore "Joga: Why a Soccer Humanoid Needs to Control Its Gaze". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence.
Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.
