Wuhan, China

Jianpeng Zuo


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations of Jianpeng Zuo in Indoor Mapping Technology.

Introduction

Jianpeng Zuo is a notable inventor based in Wuhan, China. He has made significant contributions to the field of robotics and indoor mapping technology. His innovative approach focuses on utilizing robot platforms to create detailed semantic maps of indoor environments.

Latest Patents

One of Jianpeng Zuo's key patents is titled "Method of constructing indoor two-dimensional semantic map with wall corner as critical feature based on robot platform." This patent describes a method for constructing a two-dimensional semantic map that emphasizes wall corners as critical features. The process involves controlling a robot platform to navigate indoors while collecting data through a lidar sensor. The robot measures the distance to indoor objects and the direction angle in real time. This information is transmitted to a master control computer, which processes the data using the Gmapping algorithm to create an environment grid map and determine the robot's real-time pose. Additionally, a semantic segmentation dataset is constructed to predict non-wall corner semantic labels.

Career Highlights

Jianpeng Zuo is affiliated with Wuhan University, where he continues to advance research in robotics and mapping technologies. His work has garnered attention for its practical applications in various fields, including robotics and automation.

Collaborations

Jianpeng Zuo collaborates with esteemed colleagues such as Lin Jiang and Dongjun Fang. Their combined expertise contributes to the development of innovative solutions in the realm of indoor mapping.

Conclusion

Jianpeng Zuo's contributions to indoor mapping technology through his innovative patent demonstrate his commitment to advancing the field of robotics. His work not only enhances the capabilities of robotic systems but also paves the way for future innovations in semantic mapping.

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