Author

Run-Qing Wang

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Jul 2026

AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight

AeroAct is the first WAM instantiated and demonstrated for real-world aerial flight, and closed-loop simulation and real-world experiments show that temporal visual context improves target tracking and object-search performance, and that WAM-based policies can be executed on a physical quadrotor.

Xin-Hong Zhang, Qiyuan Zhu, Yubo Huang et al. · arXiv.org · 0 citations

Preprint Aug 2026

FlowPilot: Real-Time World-Action Modeling for Agile UAV Navigation

FlowPilot is a compact world-action model for real-time onboard UAV navigation from depth that jointly denoises future depth observations and executable trajectories with flow matching, and a dual-stream mixture-of-transformers couples video and action experts through shared attention, allowing future-scene prediction and trajectory generation to inform each other.

Run-Qing Wang, Ding Yu, Pengyuan Min et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Motus2: A Self-Evolving General World Model for Dexterous Manipulation

Motus2 is presented, a self-evolving general world model for dexterous manipulation that combines egocentric data scaling and closed-loop general world model scaling to provide a general path toward self-evolving dexterous manipulation.

Hong-Zhe Bi, Zikun Zhou, Yihao Tang et al. · 0 citations