This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Trifo, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Peizhang Chen: Innovator in Autonomous Robotics
Introduction
Peizhang Chen is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of robotics, particularly in the development of technologies that enhance the capabilities of autonomous guided platforms. His innovative work focuses on improving the efficiency and accuracy of robotic navigation systems.
Latest Patents
Peizhang Chen holds a patent for "Occupancy map segmentation for autonomous guided platform with deep learning." This technology involves systems and methods for preparing a segmented occupancy grid map based on image information of the environment in which a robot operates. The system utilizes at least one visual spectrum-capable camera and one depth-measuring camera to capture image and location information. It includes logic to extract features from the image data, determine a 3D point cloud, and create an occupancy map that segments regions representing rooms and corridors.
Career Highlights
Peizhang Chen is currently employed at Trifo, Inc., where he continues to advance his research in robotics and artificial intelligence. His work has been instrumental in developing systems that allow robots to navigate complex environments more effectively. With a focus on deep learning techniques, he is at the forefront of innovation in this rapidly evolving field.
Collaborations
Peizhang has collaborated with talented individuals such as Zhe Zhang and Zhongwei Li. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Peizhang Chen's contributions to the field of robotics exemplify the impact of innovative thinking on technology. His work in occupancy map segmentation is paving the way for more advanced autonomous systems. As he continues to push the boundaries of what is possible in robotics, his influence will undoubtedly shape the future of this industry.
