Sheng Su
Papers
1
Total Citations
12
H-Index
1
About
Sheng Su is a researcher in agricultural robotics and intelligent automation, with a primary focus on motion planning and control systems for fruit harvesting manipulators. His most cited work, "Multi objective motion planning of fruit harvesting manipulator based on improved BIT* algorithm" (2024), has garnered 12 citations, reflecting its timely contribution to optimizing robotic efficiency in complex agricultural environments. Su’s research addresses the critical challenge of balancing multiple objectives—such as path length, energy consumption, and collision avoidance—in real-time harvesting scenarios. By enhancing the BIT* algorithm with multi-objective optimization, he has advanced the practical deployment of autonomous robots in orchards, improving both speed and safety. His work is notable for bridging theoretical path planning with real-world agricultural constraints, offering solutions that reduce fruit damage and increase yield. Su’s contributions are particularly relevant as the agricultural sector increasingly adopts automation to address labor shortages and sustainability goals. His research continues to influence the design of more adaptive, efficient harvesting systems, positioning him as a key figure in the intersection of robotics and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1