This inventor holds 1 USPTO granted patent. Top assignee: New York University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations by Daniel Lu in Robotic Inspection Technology
Introduction
Daniel Lu is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of robotic inspection technology. His innovative approach combines advanced sensor technology with machine learning to enhance structural inspections.
Latest Patents
Daniel Lu holds a patent for a "System and method for robotic inspection." This inspection system utilizes a ground penetrating radar (GPR) sensor to provide probe signals to a structure and receive return signals. The processor in the system analyzes these signals to generate various data types, including maximum amplitude trace normalized data and power spectral density images. The machine learning processor is trained to identify anomalies of interest, making inspections more efficient and accurate. He has 1 patent to his name.
Career Highlights
Daniel Lu is affiliated with New York University, where he continues to push the boundaries of innovation in robotic inspection. His work has garnered attention for its practical applications in ensuring the safety and integrity of structures.
Collaborations
Some of his notable coworkers include Chen Feng and Semiha Ergan, who contribute to the collaborative environment that fosters innovation at New York University.
Conclusion
Daniel Lu's work in robotic inspection technology exemplifies the intersection of engineering and artificial intelligence. His contributions are paving the way for safer and more efficient inspection methods in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile