Junzhe Zhao

KARMA: Augmenting Embodied AI Agents with Long-and-Short Term Memory Systems

Embodied AI agents responsible for executing interconnected, long-sequence household tasks often face difficulties with in-context memory, leading to inefficiencies and errors in task execution. To address this issue, we introduce KARMA, an innovative memory system that integrates longterm and short