MaP-WAM Framework Uses Memory-Grounded Planning for Long-Horizon Robotics
September 9, 2026
MaP-WAM decomposes world-action modeling into memory-grounded planning and plan-conditioned execution to handle non-Markovian manipulation tasks. It utilizes long-term multimodal episodic context as planning evidence instead of repeatedly conditioning the executor on full history, improving execution efficiency.
HOW THIS AFFECTS YOU
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researcherThis offers a way to manage long-horizon memory in robotics without the computational overhead of full history conditioning.