Company Filing History:
3 out of 113 
2 out of 9 
1 out of 9 Years Active: 2022-2024
Title: **Li Huang: Innovator in Neural Network Technologies**
Introduction
Li Huang, an accomplished inventor based in Chongqing, China, has made significant contributions to the field of robotics and artificial intelligence. With a total of six patents, his innovative work focuses on neural network applications, particularly in the areas of calibration and localization for indoor inspection robots and object detection systems.
Latest Patents
One of Li Huang's latest patents is a **neural network-based method for calibration and localization of indoor inspection robot**. This method involves presetting positions for multiple label signal sources that transmit radio frequency (RF) signals. The robot's actual path is computed based on signal labels received over time, and an odometry error model is established using a neural network. This innovative approach maximizes localization accuracy by minimizing odometer errors, making it a breakthrough in indoor robotics.
Another noteworthy invention is the **method for object detection and recognition based on neural network**. This method enhances the YOLOv5 network model by adding a detection layer post three existing layers. It effectively trains the model by considering factors like overlap between predicted and actual object boxes, leading to improved detection of various object classes. Notably, this method excels in detecting small objects, showcasing Li Huang's commitment to advancing the capabilities of object recognition technologies.
Career Highlights
Li Huang has built an impressive career at institutions renowned for their research and innovation. He has worked at **Chongqing University** and the **Dibi (Chongqing) Intelligent Technology Research Institute Co., Ltd.**. His contributions to these organizations reflect his dedication to pushing the boundaries of technology and research in the field of intelligent robotics and AI.
Collaborations
Throughout his career, Li Huang has collaborated with notable individuals in his field, including his coworkers **Yongduan Song** and **Ziqiang Jiang**. Together, they have fostered an environment of innovation, contributing to advancements in neural network research and its practical applications in robotics.
Conclusion
Li Huang continues to pave the way for future innovations in robotics and artificial intelligence through his patent portfolio and collaborative efforts. His work exemplifies how neural network technologies can revolutionize industries and improve efficiency in various applications, particularly in indoor inspections and object detection. As the field evolves, Li Huang's contributions will undoubtedly leave a lasting impact on the landscape of innovation.