Integrating Large Language Models into Robotic Autonomy: A Review of Motion, Voice, and Training Pipelines

Integrating Large Language Models into Robotic Autonomy: A Review of Motion, Voice, and Training Pipelines

This survey provides a comprehensive review of the integration of large language models (LLMs) into autonomous robotic systems, organized around four key pillars: locomotion, navigation, manipulation, and voice-based interaction. We examine how LLMs enhance robotic autonomy by translating high-level...

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Bibliographic Details
Main Authors: Yutong Liu, Qingquan Sun, Dhruvi Rajeshkumar Kapadia
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:AI
Subjects:
large language models (LLMs)
autonomous navigation
simulation-to-real transfer
multi-modal datasets
voice-based interaction
Task and Motion Planning (TAMP)
Online Access:https://www.mdpi.com/2673-2688/6/7/158
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