Papers
1
Total Citations
33
H-Index
1
About
Li Han is a leading researcher in agricultural robotics and intelligent machinery, with a primary focus on motion planning for fruit-picking robot manipulators. Her major contribution lies in developing polynomial-based smooth trajectory planning methods that optimize the movement of multi-degree-of-freedom (DOF) manipulators, directly addressing the critical challenge of balancing picking efficiency with fruit quality in smart agriculture. Her most cited work, "Polynomial-based smooth trajectory planning for fruit-picking robot manipulator" (2021), has garnered 33 citations, reflecting its significance in advancing practical solutions for automated harvesting. By enabling smoother, more precise manipulator trajectories, Han's research helps reduce fruit damage and improve operational speed, making autonomous fruit picking more viable for real-world agricultural applications. Her work is particularly notable for bridging theoretical motion planning with the practical constraints of delicate crop handling. Han's contributions are essential for students and researchers interested in agricultural automation, robotics manipulation, and the integration of smart technologies into sustainable farming practices.
Research Focus
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Top Papers
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