Article

CausGround: Supporting Adaptive Embodied Planning with Causal Interaction Knowledge

CausGround proposes a non-parametric causal interaction grounding framework that distills interaction experience into reusable, action-centered causal knowledge, identifies action preconditions and effects, and organizes them into a factorized world-state representation. At planning time, it aligns task-relevant causal dependencies with current observations, supporting backward reasoning over preconditions and forward reasoning over effects.

Part of the event: CausGround: Causal Interaction Knowledge Improves Embodied Planning Success Rate

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