Rundong Huang

Papers

Total Citations

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About

Rundong Huang is an emerging researcher working at the intersection of artificial intelligence, robotics, and distributed computing systems. His work focuses on the integration of Large Language Models (LLMs) into robotic control frameworks, with a particular emphasis on enabling intelligent coordination across heterogeneous robot clusters. His most notable contribution, "Hierarchical Large Language Models in Cloud-Edge-End Architecture for Heterogeneous Robot Cluster Control" (2023), addresses one of the most pressing challenges in modern robotics: deploying sophisticated AI reasoning capabilities across complex, multi-agent environments where semantic understanding and real-time motion control must seamlessly converge. By proposing a hierarchical architecture that distributes LLM-based intelligence across cloud, edge, and endpoint layers, Huang offers a practical pathway for scaling AI-driven robotics beyond single-agent limitations. This work has already attracted early citations, signaling growing interest from the robotics and AI communities. As autonomous systems and LLM-powered agents become increasingly central to industrial and research applications, Huang's contributions position him as a promising voice in the evolving conversation around intelligent multi-robot systems and next-generation human-machine collaboration.