Minghao Yang

About

Minghao Yang is a versatile robotics and computer vision researcher whose work spans agricultural automation, precision manufacturing, and intelligent perception systems. His most significant contributions lie at the intersection of robotic manipulation and real-world application, with particular emphasis on two emerging frontiers: agricultural robotics and industrial assembly automation. Yang's pioneering work on autonomous robotic pollination has garnered substantial attention, with his research on delivering pollen to forsythia pistils and engineering crop flower morphology for robotic cross-pollination accumulating 23 and 21 citations respectively, signaling growing urgency around food security and pollinator decline. Equally impactful is his contributions to flexible printed circuit (FPC) assembly, where he has applied digital twin frameworks and haptic sensing to tackle the formidable challenge of miniature connector positioning in smartphone manufacturing. His earlier foundational work in 3D reconstruction, LiDAR-RGB-D fusion, and nonrigid point matching for robot writing demonstrates a strong grounding in perception and learning algorithms. More recently, Yang has expanded into vision-language model-guided reinforcement learning and greenhouse tomato detection, reflecting a forward-looking embrace of large-scale AI integration. Collectively, his portfolio reveals a researcher committed to bridging cutting-edge computer vision with tangible robotic applications across agriculture and advanced manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm

   23 citations · 2023
2. 2
   Engineering crop flower morphology facilitates robotization of cross-pollination and speed breeding

   21 citations · 2025
3. 3
   Digital Twin Driven Measurement in Robotic Flexible Printed Circuit Assembly

   21 citations · 2023
4. 4
   Real-Time 3D Reconstruction Method Based on Monocular Vision

   12 citations · 2021
5. 5
   Nonrigid point matching of Chinese characters for robot writing

   11 citations · 2017
6. 6
   Accurate Flexible Printed Circuit (FPC) Position Identification Using Haptic Information in Industrial Robotic Mobile Phone Assembly

   7 citations · 2024
7. 7
   A Scan-to-Locality Map Strategy for 2D LiDAR and RGB-D Data Fusion

   4 citations · 2021
8. 8
   Guiding reinforcement learning with shaping rewards provided by the vision–language model

   3 citations · 2025
9. 9
   SN-YOLO: A Rotation Detection Method for Tomato Harvest in Greenhouses

   3 citations · 2025
10. 10
    Learning to Improve Operational Efficiency from Pose Error Estimation in Robotic Pollination

    3 citations · 2024

Key Collaborators

Contact & Links