World Action Planner: Generalizable Robot Decision-Making with Action-Conditioned World Models
World Action Planner is a robot planning system that uses Vision-Language Models (VLMs) and an action-conditioned world model to help agents propose, simulate, and refine complex action plans for new scenarios. It bridges high-level reasoning from VLMs with physical execution by allowing the system to systematically plan through agent feedback.