Author

Yu-Hang Zhang

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#artificial intelligence Preprint Sep 2026

F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement

Failure for Rising is proposed, a failure-driven real-to-sim-to-real closed-loop learning framework that converts real-world failures into targeted policy improvement and reconstructs each failure as an interactive, object-centric table-top environment that preserves the task-relevant spatial and physical conditions.

Zhuo-Yuan Yu, Jia-Cheng Wang, Tian-Le Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Skytopia: Monocular Drone Navigation with Action-Conditioned Latent World Models

Monocular drone navigation requires reaching a goal in an unseen environment from a single forward-facing camera, which offers few cues for depth and scale. World models address this by modelling how observations evolve under actions, but they are built to be executed: the prediction is produced at deployment and fed b...

Yu-Hang Zhang, Rangya Zhang, Yu-Jing Shang et al. · 0 citations