Ziqiang Jiang

Title: Ziqiang Jiang: Innovator in Neural Network Technologies

Introduction

Ziqiang Jiang is a prominent inventor based in Chongqing, China. He has made significant contributions to the field of robotics and artificial intelligence, particularly through his innovative approaches to neural networks. With a total of 6 patents, Jiang's work focuses on enhancing the capabilities of indoor inspection robots and improving object detection systems.

Latest Patents

One of Jiang'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 signals. It computes the actual path of the robot based on the signals received and establishes an odometry error model using a neural network to optimize the robot's predicted path. This innovation aims to maximize localization accuracy by minimizing odometer errors.

Another notable patent is the "Method for object detection and recognition based on neural network." This method enhances the existing YOLOv5 network model by adding a detection layer and training it to improve the detection of multiple classes of objects. It particularly excels in detecting small objects, providing a more effective solution for object recognition tasks.

Career Highlights

Jiang has worked with esteemed institutions such as Chongqing University and Dibi Intelligent Technology Research Institute Co., Ltd. His experience in these organizations has allowed him to collaborate on various projects that push the boundaries of technology in robotics and artificial intelligence.

Collaborations

Throughout his career, Jiang has collaborated with notable colleagues, including Yongduan Song and Junfeng Lai. These partnerships have contributed to the advancement of his research and the successful development of his patented technologies.

Conclusion

Ziqiang Jiang stands out as an influential inventor in the realm of neural networks and robotics. His innovative patents reflect his commitment to enhancing technology for practical applications. His work continues to inspire advancements in the field, paving the way for future innovations.