Intelligent Robot Control and Uncertainty Analysis Integrating Reinforcement Learning and Large Language Models

Yao Zhang

doi:10.54097/r6xtmv46

Authors

Yao Zhang

DOI:

https://doi.org/10.54097/r6xtmv46

Keywords:

Reinforcement learning, Large Language Model (LLM) Intelligent control of robots, Uncertainty analysis, Management Strategy

Abstract

With the rapid development of technology, the field of intelligent robot control is undergoing profound changes. The integration of reinforcement learning and big language models has brought new opportunities to enhance the intelligence level of robots. This article deeply analyzes the application of this fusion technology in robot intelligent control, explores its significance from the perspective of management, comprehensively analyzes the uncertainty of the fusion system, and proposes corresponding management strategies, aiming to provide decision-making references for managers in related fields and promote the efficient and stable development of robot intelligent control technology in practical applications.

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