Offline imitation learning (IL) is a practical route to embodied policy learning when online exploration is unsafe, expensive, or unavailable. Its main limitation is the closed-loop covariate shift: a policy trained only on fixed demonstrations can enter states outside the expert support, where behavioral cloning provi...
Shu-Ze Wang, Wei Xiao, Yun-Peng Mei et al.· IEEE Transactions on Automat...· 0 citations
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.
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...
Run-Qing Wang, Ding Yu, Pengyuan Min et al.· 1 citation
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.· 7 citations
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