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Kefei Zhu

2 accepted papers

2025

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation

NeurIPS 2025spotlight

Dexterous manipulation is critical for advancing robot capabilities in real-world applications, yet diverse and high-quality datasets remain scarce. Existing data collection methods either rely on human teleoperation or require significant human engineering, or generate data with limited diversity,…

Cited by 0SourceScholar
2025

UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty

ICRA 2025

End-to-end autonomous driving aims to produce planning trajectories from raw sensors directly. Currently, most approaches integrate perception, prediction, and planning modules into a fully differentiable network, promising great scalability. However, these methods typically rely on deterministic mo

Cited by 14SourcecodeScholar