Leveraging large language models for comprehensive locomotion control in humanoid robots design

This paper investigates the utilization of large language models (LLMs) for the comprehensive control of humanoid robot locomotion. Traditional reinforcement learning (RL) approaches for robot locomotion are resource-intensive and rely heavily on manually designed reward functions. To address these...

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Bibliographic Details

Published in:	Biomimetic Intelligence and Robotics
Main Authors:	Shilong Sun, Chiyao Li, Zida Zhao, Haodong Huang, Wenfu Xu
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Humanoid robots Large language models Locomotion control Reinforcement learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667379724000457