ResearchResearch paperRobotics & Embodied AI1 source · Oct 13, 2026

λ_0: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation

We introduce HumanVerse, a 500-hour dataset of open-world human loco-manipulation pairing egocentric video with synchronized body and hand motion.

Key points

  • Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly.
  • Our human-to-humanoid pipeline aligns camera viewpoints and arm appearance, and refines motion references and controller inputs offline to reduce end-effector errors while preserving whole-body coordination.
  • We validate the pipeline through zero-shot transfer to Unitree G1 on representative whole-body manipulation and long-range loco-manipulation tasks, without target-task robot demonstrations.
  • Building on this pipeline, we develop λ0, a humanoid foundation model for whole-body loco-manipulation, with robot-aligned human demonstrations providing supervision for mid-training.

Sources (1)

  • [1]λ_0: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
    Hugging Face Daily Papers · Oct 13, 12:00 AM
    We introduce HumanVerse, a 500-hour dataset of open-world human loco-manipulation pairing egocentric video with synchronized body and hand motion.
    Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly.

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