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Author

Jiangmiao Pang

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Review Open access 2026

From bits to atoms: A survey of cross-layer safety in Embodied AI

Embodied Artificial Intelligence (AI) introduces cyber–physical risks because digital failures and attacks can cause physical harm. This survey organizes embodied AI safety through a four-layer reference architecture — comprising the physical interaction, system and middleware, algorithm and decision, and cloud–edge an...

Tuo Feng, Yue Zhang, Shi-Ji Zhou et al. · 0 citations
Jul 2026

KAI: A Kinematic-Aware Interface for Data-Efficient Articulated Object Manipulation

The Kinematic-Aware Articulation Interface (KAI), a structured intermediate representation that captures the kinematic structure of articulated objects, is introduced, a structured intermediate representation that provides a strong inductive bias aligned with the underlying structure of articulated motion.

Ya-Ping Li, Zhaxizhuoma, Qiao-Jun Yu et al. · 0 citations
Preprint Aug 2026

Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

This work proposes AdaPT, an Adaptive Motion Planning and Tracking framework that learns professional tennis serving and rally styles directly from broadcast videos, and improves tracking robustness by learning to track randomized execution speeds, while conditioning the planner on a learned motion-speed adapter to mit...

Tao Huang, Ruofei Liu, Xuchen Tang et al. · 0 citations
Preprint Aug 2026

RoboStriker: Latent-Space Strategic Games for Autonomous Humanoid Boxing

By constraining strategic exploration through a pretrained motion decoder, RoboStriker substantially reduces the catastrophic balance failures observed in raw action-space methods and achieves superior tactical performance in both competitive win rates and striking efficiency.

Kangning Yin, Kaige Liu, Zhe Cao et al. · 0 citations
Jul 2026

Scaling Behavior Foundation Model for Humanoid Robots

This work revisits the scaling recipe for BFMs and demonstrates that substantial performance gains can be achieved through the coordination of three core components: the learning paradigm of motion tracking that reformulates diverse humanoid control problems as the reproduction of integrated whole-body behaviors in the...

Weishuai Zeng, Kangning Yin, Xiaojie Niu et al. · 3 citations · ⚡1

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