Dongchuan Pu
Papers
2
Total Citations
3
H-Index
1
About
Dongchuan Pu is a researcher focused on advancing autonomous navigation and control for agricultural robotics, with particular emphasis on orchard environments. His work addresses critical challenges in precision agriculture, including trajectory tracking accuracy, disturbance rejection, and real-time path planning for mobile robots operating in complex, uneven terrain. Pu’s major contributions include the development of a double-loop adaptive sliding mode control strategy for improved trajectory tracking, which effectively mitigates jitter and enhances robustness against terrain disturbances. He has also proposed an integrated path planning method that combines an improved Ant Colony Optimization algorithm with the Dynamic Window Approach, significantly improving navigation accuracy, path smoothness, and real-time performance. Although his most-cited papers are recent (2025), they have already garnered citations, reflecting growing interest in his innovative solutions. Pu’s work is particularly notable for its practical application in orchard robotics, where it promises to enhance the efficiency and reliability of autonomous agricultural operations. His research stands at the intersection of control theory, optimization algorithms, and agricultural engineering, offering valuable insights for students and researchers in robotics and precision agriculture.
Research Focus
Key Achievements
Top Papers
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- 2