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cs.RO2026
WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models
Anlan Yu, Zaishu Chen, Peili Song +6
Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into uns…
cs.RO2025
FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction
Yifan Yang, Zhixiang Duan, Tianshi Xie +8
Robotic manipulation is a fundamental component of automation. However, traditional perception-planning pipelines often fall short in open-ended tasks due to limited flexibility, w…