Scaling Behavior Foundation Model for Humanoid Robots

Humanoid control requires natural whole-body coordination, precise real-time responses to control signals, and robust generalization across diverse environmental contexts, making it a cornerstone for generalist embodied agents. Behavior Foundation Models (BFMs) have recently emerged as a promising solution to address these challenges by leveraging large-scale behavioral data to achieve superior expressiveness, versatility and generalization. However, despite growing interest in scaling BFMs to f

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ethics.ai (16 July 2026), “Scaling Behavior Foundation Model for Humanoid Robots,” evidence record 11597, https://ethics.ai/record/11597 (originally published by arXiv cs.AI).

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