Ceng Zhang
Papers
1
Total Citations
224
H-Index
1
About
Ceng Zhang is a leading researcher at the intersection of artificial intelligence and robotics, whose work is fundamentally reshaping how humans and machines communicate. His primary research areas encompass human–robot interaction (HRI), large language models (LLMs), and autonomous systems. Zhang’s most significant contribution is his seminal 2023 review, “Large language models for human–robot interaction: A review,” which has already garnered over 224 citations—a testament to its profound impact on a rapidly evolving field. In this work, he provides a comprehensive analysis of how LLMs are revolutionizing robotic systems, enabling unprecedented natural language understanding and complex task execution. By systematically mapping the fusion of generative AI with physical robotics, Zhang has given the research community a critical roadmap for future innovation. His scholarship is notable for its clarity and foresight, helping to bridge the gap between theoretical AI and practical robotic applications. For students and researchers entering this exciting domain, Zhang’s work serves as both a foundational reference and an inspiring call to explore the next frontier of intelligent, communicative machines.
Research Focus
Key Achievements
Top Papers
- 1Large language models for human–robot interaction: A review224 citations · 2023