
Language-Powered Robots
Bridging Natural Language and Robotic Control Systems
This survey explores how Large Language Models (LLMs) are revolutionizing human-robot communication by enabling natural language interfaces for robotic systems.
- Examines integration of language models with robotic control architectures
- Reviews techniques for translating human instructions into precise robot actions
- Analyzes challenges in multimodal information processing across text and physical environments
- Highlights security considerations in human-robot team communication
This research provides critical insights for engineering teams developing next-generation robots that can understand and respond to human language, potentially transforming industrial automation, healthcare robotics, and collaborative human-robot workflows.