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Cewu Lu

PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
I-Perceive: A Foundation Model for Vision-Language Active Perception
Mimic Intent, Not Just Trajectories
Any House Any Task (AHAT) is Now Public
TGPO: Trace-Guided Policy Optimization for Robot Task Planning via Verifiable Subgoal Generation
Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs

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