Tonghui Qian

Papers

Total Citations

H-Index

About

Tonghui Qian is a researcher at the intersection of robotics, artificial intelligence, and intelligent systems, with a particular focus on human-robot interaction and game-playing automation. Their most cited work, "Design and Implementation of Chinese Chess Based on Manipulator" (2019, 5 citations), exemplifies their innovative approach to integrating AI with physical robotics. In this study, Qian developed a system where a robotic manipulator, controlled by a microcomputer via serial communication, autonomously plays Chinese chess—demonstrating how traditional board games can serve as testbeds for advancing robotic perception, decision-making, and manipulation. This contribution bridges the gap between abstract AI algorithms and tangible, real-world robotic actions, offering a practical platform for studying intelligent automation. Qian’s work highlights the growing trend of embedding AI into embodied systems, making complex strategic reasoning physically executable. While their citation count reflects a niche but emerging area of research, their project stands out for its creative application of robotics to cultural games, inspiring further exploration into interactive, AI-driven robotic systems for education, entertainment, and human-robot collaboration.