This inventor holds 2 USPTO granted patents. Top assignee: Wuhan University. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovations of Xinkai Zuo in Robotics and 3D Modeling
Introduction
Xinkai Zuo is a prominent inventor based in Wuhan, China. He has made significant contributions to the fields of robotics and three-dimensional modeling. With a total of 2 patents, his work focuses on enhancing autonomous exploration and indoor structural modeling.
Latest Patents
Xinkai Zuo's latest patents include an "Autonomous exploration framework for indoor mobile robotics using reduced approximated generalized Voronoi graph." This innovative method involves constructing a reduced approximated generalized Voronoi topological map using a morphological approach. It also includes obtaining a Next-Best-View and planning a global path for the robot to navigate along this path using a visual force field (VFF) algorithm.
Another notable patent is the "Multi-story indoor structured three-dimensional modeling method and system." This method encompasses several steps, including inputting a multi-story point cloud and segmenting stories based on an elevation histogram. It also involves segmenting rooms and indoor space cells for each story, ultimately leading to the establishment of a three-dimensional model of a multi-story structure.
Career Highlights
Xinkai Zuo is affiliated with Wuhan University, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in robotics and architectural modeling.
Collaborations
He collaborates with notable colleagues, including Lin Li and Fei Su, who contribute to his research endeavors.
Conclusion
Xinkai Zuo's contributions to robotics and 3D modeling demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of complex systems and their applications in real-world scenarios.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
