Ziliang Guo
Papers
1
Total Citations
10
H-Index
1
About
Dr. Ziliang Guo is a leading researcher in agricultural robotics, specializing in intelligent path planning and autonomous manipulation for fruit harvesting systems. His most impactful work addresses the critical challenge of enabling robotic arms to navigate complex, unstructured orchard environments with precision and safety. In his highly cited 2025 study, "Research on 3D Obstacle Avoidance Path Planning for Apple Picking Robotic Arm," Dr. Guo proposed an innovative improved informed-RRT* motion planning algorithm. By integrating the artificial potential field method, his approach significantly enhances obstacle avoidance capabilities and operational efficiency, directly tackling the low success rates and inefficiencies that have long plagued agricultural robots. This work, garnering 10 citations, represents a foundational contribution to the field of agricultural automation. Dr. Guo’s research is pivotal for advancing the practicality of robotic fruit picking, with profound implications for labor sustainability and food production efficiency. His algorithms are setting new standards for safe, adaptive, and high-performance motion planning in dense, three-dimensional crop canopies.
Research Focus
Key Achievements
Top Papers
- 1