Author

Nan Sun

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Preprint Aug 2026

4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

4D-WAM is proposed, a model-agnostic training strategy that injects spatiotemporal knowledge from 3D trajectory fields into WAMs through representation alignment, enabling WAMs to learn trajectory-level spatiotemporal representations.

Lishan Yang, Wen-Xuan Song, Xi Wang et al. · 5 citations · ⚡1

Jul 2026

Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories

Xiao-Robotics-1 serves as a strong robot foundation policy that can be efficiently fine-tuned on complex, dexterous tasks with high data efficiency and across multiple simulation benchmarks, Xiaomi-Robotics-1 outperforms state-of-the-art methods.

Xiaomin Guo, Piao-Piao Jin, Jason Li et al. · arXiv.org · 16 citations · ⚡2