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LUCID: Hierarchical framework that unifies skills with imagined dynamics for long-term humanoid loco-manipulationLUCID learns a world model that governs high-level decisions while preserving low-level skills, thereby increasing full success and partial completion rates in long-term multi-object rearrangement tasks and offering a new approach to solving complex sequential loco-manipulation problems. This is a news summary compiled for the AiPulse newsletter — not the original article. The original article is at arxiv.org. Read the original article AI Critique → English (automatic translation) |