Xiaochun Mai

Title: Innovations by Xiaochun Mai

Introduction

Xiaochun Mai is an accomplished inventor based in Hong Kong, China. He has made significant contributions to the fields of intelligent agriculture and robotics. With a total of 2 patents, his work showcases innovative solutions to modern challenges.

Latest Patents

One of Xiaochun Mai's latest patents is a method and apparatus using a semi-supervised deep convolution neural network for crop yield estimation in intelligent agriculture. This method involves receiving monitoring data from a drone, which includes a video of crops. The video is sampled at a predefined frame rate to obtain images, which are then input into a crop yield estimation model. This model, trained using a semi-supervised learning method, allows for quantity and quality estimations of crops based on the result data.

Another notable patent is an intelligent robotic system for autonomous airport trolley collection. This system features a differential-driven mobile base and a manipulator designed to fork a trolley. It includes a sensory and measurement assembly for data flow and a main processing case for controlling the system. The method encompasses localizing and mapping the robotic system, detecting idle trolleys, and issuing motion control commands for automatic collection.

Career Highlights

Xiaochun Mai has worked at prestigious institutions such as The Chinese University of Hong Kong and City University of Hong Kong. His experience in these academic environments has contributed to his innovative research and development efforts.

Collaborations

Xiaochun has collaborated with notable colleagues, including Yixuan Yuan and Max Qing Hu Meng. Their teamwork has fostered advancements in their respective fields.

Conclusion

Xiaochun Mai's contributions to intelligent agriculture and robotics highlight his innovative spirit and dedication to solving real-world problems. His patents reflect a commitment to advancing technology for practical applications.