Jinhua Xiao
Papers
1
Total Citations
3
H-Index
1
About
Jinhua Xiao is an emerging researcher working at the intersection of artificial intelligence and robotics, with a particular focus on human-robot collaboration enhanced by large language models (LLMs). Their work explores how cutting-edge natural language processing technologies can be meaningfully integrated into robotic systems to improve human-machine interaction, accessibility, and collaborative task performance. Xiao's most notable contribution to date is a systematic review examining the role of large language models in human-robot collaboration, published in 2026. This comprehensive survey maps current trends, identifies methodological approaches, and critically outlines the challenges researchers face when deploying LLMs in real-world robotic contexts — work that has already garnered early citations, signaling growing interest within the community. By synthesizing a rapidly evolving field into a structured, accessible framework, Xiao's research serves as a valuable resource for both newcomers and established researchers navigating the complex landscape of AI-driven robotics. As LLM-powered robotic systems become increasingly prevalent across industries, Xiao's systematic scholarship positions them as a thoughtful voice shaping how the field understands and addresses its most pressing technical and ethical challenges.
Research Focus
Key Achievements
Top Papers
- 1