How can an LLM power a proactive multi-agent office assistant?
AssistantX: An LLM-Powered Proactive Assistant in Collaborative Human-Populated Environment
September 27, 2024
https://arxiv.org/pdf/2409.17655This paper introduces AssistantX, an AI-powered robot assistant for office environments. AssistantX uses a novel multi-agent architecture called PPDR4X to understand user instructions, navigate physical spaces, and interact with humans to complete tasks.
Key points for LLM-based multi-agent systems:
- PPDR4X leverages LLMs for perception, planning, decision-making, and reflection within its multi-agent structure.
- AssistantX showcases the potential of LLMs in multi-agent systems for handling complex real-world tasks through efficient collaboration and planning.
- The system demonstrates the viability of deploying LLM-powered agents in real-world settings like offices, opening new possibilities for human-robot interaction.