This inventor holds 1 USPTO granted patent. Top assignee: Guangdong University of Technology. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Innovations of Tiangang Luan in Hand-Eye Calibration
Introduction
Tiangang Luan is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of robotics and computer vision. His innovative work focuses on improving hand-eye calibration methods, which are essential for the precise operation of robotic systems.
Latest Patents
Tiangang Luan holds a patent for "Methods for improved hand-eye calibration based on structured light cameras." This patent outlines a comprehensive method that enhances the calibration process using structured light cameras. The method involves several steps, including establishing a pinhole camera model, utilizing a depth camera for three-dimensional coordinate detection, and applying advanced algorithms for optimal calibration. His approach offers strong operability and robustness, making it a valuable contribution to the field.
Career Highlights
Tiangang Luan is affiliated with the Guangdong University of Technology, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in robotics and automation. With a focus on enhancing the interaction between robotic systems and their environments, Luan's contributions are paving the way for more sophisticated robotic technologies.
Collaborations
Tiangang Luan has collaborated with notable colleagues, including Jie Tao and Xinyan Li. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas in the field of robotics.
Conclusion
Tiangang Luan's innovative methods for hand-eye calibration represent a significant advancement in robotics. His work not only enhances the functionality of robotic systems but also contributes to the broader field of computer vision. The impact of his inventions is likely to be felt for years to come.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile