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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Qing-Du Li

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Preprint Oct 2026

P-BFM: Perceptive Behavioral Foundation Models for Humanoid Control via Unsupervised Reinforcement Learning

Behavioral foundation models (BFMs) provide humanoids with reusable repertoires of whole-body behaviors; in real-world humanoid control, the same behavioral intent may require fundamentally different motions under different terrain constraints. Covering such variation with terrain-matched demonstrations requires enumer...

Xue Wang, Yi-Tang Li, Yi-Ming Zhang et al. · 0 citations
Open access Aug 2026

Hierarchical Whole-Body Control for Tendon-Cable-Driven Humanoids via Reference-Residual Policy and Offline-Learned Tendon Mapping

A hierarchical whole-body tracking framework for the 28-DoF Droid X3 that separates high-level motion learning from transmission compensation is presented and the aggregate action-completion rate is increased across the complete physical trials, an increase of 11 percentage points.

Wen-Cong Gan, Jie-Hui Chen, Qing-Du Li et al. · 0 citations

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