
POLAR: Personalized Memory-Augmented Embodied AI Agents
POLAR is a new framework that enables embodied multimodal agents to personalize assistance by maintaining a multimodal knowledge graph of long-term user interactions. It improves task execution by retrieving semantic and episodic memories to better interpret implicit user requests.





