Sean Lin

Title: Sean Lin: Innovator in Robotic Systems and Defect Recognition

Introduction

Sean Lin is a prominent inventor based in Hopkins, MN (US). He has made significant contributions to the fields of robotic systems and defect recognition technologies. With a total of 2 patents, his work showcases innovative approaches to complex engineering challenges.

Latest Patents

One of Sean Lin's latest patents is titled "Interfaces for assisted defect recognition systems." This patent describes various interfaces designed for configuring custom assisted defect recognition (ADR) systems and workflows. The ADR systems can utilize visual tools, such as node-based processing tools, to analyze two-dimensional (2D) and three-dimensional (3D) image scans generated by industrial X-ray scanning systems.

Another notable patent is "Dual robot control systems for non-destructive evaluation." This invention involves a system that employs a spherical coordinate system to control two robotic arms for non-destructive evaluation of objects. The system includes a radiation source and a radiation detector, each coupled to different robotic arms. The control unit determines positions on the surfaces of spheres within the coordinate system to facilitate the movement of the robotic arms for effective evaluation.

Career Highlights

Sean Lin is currently employed at Illinois Tool Works Inc., where he continues to develop innovative solutions in his field. His work has garnered attention for its practical applications in industrial settings, particularly in enhancing the efficiency and accuracy of defect recognition processes.

Collaborations

Sean collaborates with talented individuals such as Joseph Schlecht and Caleb Nelson Hay, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Sean Lin's contributions to robotic systems and defect recognition technologies highlight his role as a leading inventor in his field. His patents reflect a commitment to advancing technology and improving industrial processes.