Yixiang Huang
Papers
13
Total Citations
806
H-Index
7
About
Yixiang Huang is a leading researcher at the intersection of agricultural robotics and human-robot interaction, whose work has fundamentally advanced autonomous harvesting systems. His primary research areas include vision-based robotic control, fruit recognition in unstructured environments, and dual-arm manipulation for agriculture. Huang's most impactful contribution is his comprehensive review of vision-based control techniques for harvesting robots, which has garnered 394 citations and serves as a foundational reference in the field. He developed robust tomato recognition methods using AdaBoost classifiers and colour analysis (149 citations), and pioneered feature images fusion techniques to overcome illumination and background disturbances in complex greenhouse scenes (108 citations). His innovative dual-arm robot design for greenhouse tomato harvesting (100 citations) demonstrated significant improvements in efficiency for unstructured agricultural environments. Beyond agriculture, Huang has contributed to humanoid robotics through human-in-the-loop motion imitation and natural teaching paradigms, enabling intuitive teleoperation. His work on field phenotyping robots for crop breeding and cloud robotics further showcases his versatility. With over 800 total citations across his top papers, Huang's research continues to shape the future of intelligent agricultural automation and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1A review of key techniques of vision-based control for harvesting robot394 citations · 2016
- 2
- 3Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion108 citations · 2016
- 4Dual-arm Robot Design and Testing for Harvesting Tomato in Greenhouse100 citations · 2016
- 5
- 6
- 7
- 8Field Phenotyping Robot Design and Validation for the Crop Breeding6 citations · 2016
- 9
- 10