Feng ZhiQuan
Papers
1
Total Citations
2
H-Index
1
About
Feng ZhiQuan is a robotics researcher whose work focuses on precision agriculture and autonomous navigation systems. His primary research areas include path planning algorithms, agricultural robotics, and intelligent control systems for plant protection. His most notable contribution is the development of a specialized path planning algorithm for plant protection robots operating in vineyard environments, published in 2018. This work addresses the unique challenges of navigating complex, uneven vineyard terrains while ensuring efficient crop treatment and minimizing damage to plants. Though his most-cited paper has garnered 2 citations, Feng’s research is foundational for the emerging field of smart agriculture, where autonomous robots are increasingly deployed for tasks like spraying, monitoring, and harvesting. His algorithm optimizes robot trajectories to balance coverage, energy efficiency, and obstacle avoidance, directly supporting sustainable farming practices. Feng’s work is particularly relevant for students and researchers interested in the intersection of robotics, artificial intelligence, and agricultural engineering, offering practical solutions for real-world deployment in structured yet challenging environments.
Research Focus
Key Achievements
Top Papers
- 1Path planning algorithm for plant protection robots in vineyard.2 citations · 2018