Hongqi Han
Papers
2
Total Citations
12
H-Index
2
About
Hongqi Han is a robotics researcher specializing in agricultural automation and precision manipulation, with a core focus on vision-guided robotic systems for fruit harvesting. His work addresses the critical challenge of hand-eye coordination in open-loop robotic control, where accurate calibration between a robot’s visual sensors and its manipulator is essential for reliable performance. Han’s major contributions include the development of a novel hand-eye calibration method based on the product of exponentials (POE) model, which significantly improves calibration accuracy over traditional AX = XB approaches. This foundational work, published in 2023, has garnered early attention with 4 citations. Building on this, Han introduced an apple fruit localization system that integrates flexible hand-eye pose acquisition for robotic harvesting, achieving 8 citations since its 2024 publication. His research directly addresses the practical demands of agricultural robotics, enabling more precise and efficient fruit detection and grasping in unstructured environments. Han’s work represents a meaningful step toward fully autonomous harvesting systems, combining theoretical advances in calibration with real-world application in precision agriculture.
Research Focus
Key Achievements
Top Papers
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