Yiyao Fan
Papers
1
Total Citations
13
H-Index
1
About
Yiyao Fan is a researcher in robotics and computer vision, with a focus on advancing autonomous manipulation systems. His key contributions lie in developing methods for multi-degree-of-freedom robotic arms to operate independently using binocular vision, addressing critical challenges in universality and robustness. His most-cited work, "Autonomous Operation Method of Multi-DOF Robotic Arm Based on Binocular Vision" (2019), has garnered 13 citations, reflecting its relevance to practical applications like fruit picking, cargo handling, and workpiece assembly. Fan’s research bridges the gap between theoretical vision algorithms and real-world robotic tasks, aiming to improve the adaptability and reliability of autonomous systems in dynamic environments. His work is notable for tackling the limitations of existing methods, such as poor generalization and low robustness, which are common barriers to deploying robotic arms in diverse settings. Through his contributions, Fan is helping to advance the field of intelligent robotics, making autonomous operation more accessible and efficient for industrial and agricultural applications.
Research Focus
Key Achievements
Top Papers
- 1