Papers
2
Total Citations
47
H-Index
2
About
Mengyao Sun is a leading researcher in autonomous agricultural systems, with a focus on intelligent path planning and digital twin simulation for smart farming. Her most cited work, "An obstacle avoidance path planner for an autonomous tractor using the minimum snap algorithm" (2023, 33 citations), introduces a novel trajectory optimization method that enables tractors to navigate complex field environments with smooth, collision-free motion—a critical advancement for precision agriculture. Complementing this, her paper "Digital twins in smart farming: An Autoware-based simulator for autonomous agricultural vehicles" (2023, 14 citations) pioneers the use of digital twin technology to create high-fidelity virtual replicas of farming machinery, allowing for safer, more efficient testing and control of autonomous vehicles before deployment. By integrating robotics, control theory, and simulation, Sun’s work directly addresses labor shortages and operational inefficiencies in modern agriculture. Her contributions are shaping the next generation of autonomous farming, where real-time digital models and optimized motion planning work in concert to boost productivity and reduce human intervention.
Research Focus
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