2 papers
cs.RO2026
Towards a Data Flywheel for Embodied Intelligence in Logistics
Anlan Yu, Zaishu Chen, Zhiqing Hong +1
Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application scenario. Learning-based polic…
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…