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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
Collaborate sim and real: Robot Bin Packing Learning in Real-world and Physical Engine
Lidi Zhang, Han Wu, Liyu Zhang +6
The 3D bin packing problem, with its diverse industrial applications, has garnered significant research attention in recent years. Existing approaches typically model it as a discr…