2026
MITA: A HIERARCHICAL MULTI-AGENT COLLABORATION FRAMEWORK WITH MEMORY-INTEGRATED AND TASK ALLOCATION
ICASSP 2026poster
Recent advances in large language models (LLMs) have substantially accelerated the development of embodied agents. LLM-based multi-agent systems mitigate the inefficiency of single agents in complex tasks. However, they still suffer from issues such as memory inconsistency and agent behavioral confl…