Papers
8
Total Citations
121
H-Index
6
About
Dr. Peichen Huang is a leading researcher in agricultural robotics, specializing in autonomous navigation, path planning, and perception systems for fruit-harvesting robots operating in challenging orchard environments. His major contributions center on developing robust control and vision-based solutions that enable robots to navigate reliably where GPS signals are weak or obstructed. Notably, his work on a feedforward-plus-PID controller for headland turning and a look-ahead distance-based path tracking controller for differential-drive robots has laid the groundwork for precise autonomous maneuvering. Dr. Huang has pioneered deep-learning approaches for trunk perception, depth estimation, and end-to-end row-following, directly mapping camera images to driving commands. His research on a deep reinforcement learning-based inverse kinematics solution for a series-parallel hybrid banana-harvesting robot represents a significant advance in robotic manipulation. With several papers accumulating over 20 citations each, his work on row-end detection and headland turning control for banana-picking robots has been particularly influential. His most recent field-validated VIO-MPC fusion system addresses the critical challenge of autonomous headland turning in GNSS-denied orchards, demonstrating his ongoing commitment to solving real-world agricultural automation problems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8