Haomin Li
Papers
1
Total Citations
11
H-Index
1
About
Haomin Li is a robotics and autonomous systems researcher whose work centers on the intersection of precision agriculture, mobile robot navigation, and advanced control theory. His most notable contribution to date is a 2023 study introducing a cascaded Model Predictive Control (MPC) framework combined with anti-slip drive control for orchard mowing robots — a technically sophisticated approach to one of agricultural robotics' most persistent challenges. Operating in unstructured orchard environments, wheeled robots frequently experience longitudinal slippage due to variable tire-surface adhesion conditions, compromising both positioning accuracy and navigation reliability. Li's cascaded control architecture directly addresses this problem, enabling high-precision path tracking even under adverse traction conditions. This work, which has already accumulated 11 citations since its publication, demonstrates a meaningful step forward in making autonomous agricultural machinery viable for real-world deployment. Li's research sits at a critical frontier where robotics, control engineering, and smart farming converge, contributing practical solutions that could meaningfully reduce labor demands in horticulture and improve the consistency of orchard maintenance operations at scale.
Research Focus
Key Achievements
Top Papers
- 1