Jiamin Cai
Papers
2
Total Citations
13
H-Index
2
About
Jiamin Cai is a robotics researcher specializing in autonomous navigation for agricultural robots, with a focus on path planning in complex, unstructured environments. His major contributions lie in developing improved algorithms for nonholonomic orchard robots, addressing critical challenges such as low search efficiency, suboptimal path quality, and the tendency to get trapped in local optima. His most cited work, "HPS-RRT*: An Improved Path Planning Algorithm for a Nonholonomic Orchard Robot in Unstructured Environments" (2025, 9 citations), introduces a novel approach that significantly enhances path quality and search efficiency, enabling safer task execution in orchards. Cai has also advanced local path planning for orchard mowers, using safe corridor and quadratic programming methods to navigate narrow, irregularly spaced obstacles while respecting kinematic constraints (2024, 4 citations). His research directly impacts precision agriculture by making autonomous robots more reliable in real-world field conditions. With a growing citation record, Cai is establishing himself as a key contributor to agricultural robotics, bridging the gap between theoretical path planning and practical deployment in challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2