Author

Jier Chen

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Preprint Oct 2026

MiniWAM: Learning Compact Future Targets for Efficient World-Action Modeling

World modeling has emerged as an effective co-training objective for robot policies, giving rise to World Action Models (WAMs) that jointly predict actions and future states. However, most WAMs predict future states in the native representation space of pretrained visual backbones, resulting in high-dimensional targets...

Jie Chen, Ruofei Bai, Yu-Xin Cai et al. · 0 citations

Jul 2026

Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction

Athena-Brain-8B, an 8B LLM designed to serve as an on-device brain for embodied intelligence for embodied intelligence, is presented, demonstrating that compact language models can effectively integrate strong general intelligence with embodied capabilities.

Jialian Li, Junhong Liu, Yuchen Cao et al. · arXiv.org · 1 citation

Preprint Aug 2026

Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence

Capek 0.5 is presented, an embodied vision-language model built around an execution-centric capability taxonomy that improves the large majority of matched benchmark rows over its initialization, retains all four specialized capabilities in one checkpoint with quantified losses, and transfers to closed-loop embodied ta...

Ying Chen, Wei-Zhen Li, Zhe Hu et al. · 1 citation · ⚡1