Jinping Geng
Papers
1
Total Citations
31
H-Index
1
About
Jinping Geng is a leading researcher in agricultural robotics, with a primary focus on intelligent manipulation systems for precision harvesting. His most cited work, "Motion Planning of the Citrus-Picking Manipulator Based on the TO-RRT Algorithm" (2022, 31 citations), addresses a critical bottleneck in agricultural automation: the need for efficient, obstacle-aware motion planning in complex orchard environments. Geng’s key contribution is the development of the time-optimal rapidly-exploring random tree (TO-RRT) algorithm, which significantly improves both the obstacle avoidance capability and picking speed of robotic manipulators. By optimizing path planning in real time, his work directly enhances the operational efficiency of citrus-picking robots, reducing cycle times while maintaining collision-free trajectories. This innovation has practical implications for reducing labor costs and improving harvest yields in the citrus industry. Geng’s research sits at the intersection of robotics, control systems, and agricultural engineering, demonstrating how algorithmic advances can solve real-world field challenges. With 31 citations for his flagship paper, his work is gaining traction among researchers developing next-generation harvesting systems, positioning him as an emerging authority in agricultural robotics motion planning.
Research Focus
Key Achievements
Top Papers
- 1