This inventor holds 1 USPTO granted patent. Top assignees: Frito-Lay North America, Inc., Graftek Imaging Inc.. Active years: 2023.
Company Filing History:

Years Active: 2023
Title: Innovations by Sih Ying Wu in Robotic Imaging Technology
Introduction
Sih Ying Wu is an accomplished inventor based in Austin, TX, known for his innovative contributions to robotic imaging technology. With a focus on enhancing the efficiency of robotic systems, Wu has developed a patent that addresses the challenges of cargo handling in automated environments. His work is particularly relevant in industries that rely on robotic assemblies for unloading tasks.
Latest Patents
Wu holds a patent titled "Shading Topography Imaging for Robotic Unloading." This invention pertains to vision systems designed for robotic assemblies that handle cargo, such as unloading items from trailers. The technology utilizes shading topography to determine the position of cargo, employing light sources arranged at various positions relative to the image capture devices. This advancement significantly improves the accuracy and efficiency of robotic unloading processes.
Career Highlights
Throughout his career, Sih Ying Wu has worked with notable companies, including Frito-Lay North America, Inc. and Graftek Imaging Inc. His experience in these organizations has contributed to his expertise in imaging technology and robotics. Wu's innovative mindset and technical skills have positioned him as a valuable asset in the field of automation.
Collaborations
Wu has collaborated with talented individuals such as Romik Chatterjee and Thomas M Sterritt. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies in robotic systems.
Conclusion
Sih Ying Wu's contributions to robotic imaging technology exemplify the impact of innovation in automation. His patent on shading topography imaging showcases his commitment to improving cargo handling processes through advanced vision systems. Wu's work continues to influence the field, paving the way for future advancements in robotics.