Duan Yuntao
Papers
1
Total Citations
2
H-Index
1
About
Duan Yuntao is a researcher whose work lies at the intersection of robotics, machine vision, and intelligent systems. His most recognized contribution, "Pieces Identification in the Chess System of Dual-Robot Coordination Based on Vision" (2010), explores the integration of visual perception with coordinated robotic manipulation. This study addresses a key challenge in human-robot interaction: enabling robots to accurately identify and interact with objects in dynamic environments. By developing a vision-based system for dual-robot chess play, Duan’s work demonstrates how machine vision can enhance robotic autonomy and coordination. Though his citation count is modest, his research contributes to foundational problems in robotic perception and multi-agent systems. His work is particularly relevant for students and researchers interested in the practical application of computer vision to robotics, offering insights into how visual data can guide precise, collaborative robotic actions. Duan’s focus on dual-robot coordination also highlights the growing importance of multi-robot systems in manufacturing, entertainment, and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1