This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. 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 Casey Kute Schulz
Introduction
Casey Kute Schulz is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of autonomous motile devices through his innovative patent. His work focuses on enhancing the reliability of LIDAR systems, which are crucial for navigation and obstacle detection in autonomous technologies.
Latest Patents
One of Casey's notable patents is titled "Fiducial-based lidar malfunction detection for autonomous motile devices." This invention involves a light detection and ranging (LIDAR) subsystem that is designed for floor detection in autonomous motile devices (AMDs). The LIDAR subsystem includes a LIDAR component and a fiducial positioned in the path of light emitted by the LIDAR component. The LIDAR component provides distance data to a processor, which analyzes this data to determine if the LIDAR component is functioning correctly. If the distance values fall outside a predetermined range, it indicates a potential malfunction, prompting the AMD to take appropriate action.
Career Highlights
Casey Kute Schulz is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions for autonomous systems. His expertise in LIDAR technology and autonomous devices positions him as a key contributor to advancements in this rapidly evolving field.
Collaborations
Throughout his career, Casey has collaborated with talented individuals such as Srinivasa Varadan Rajagopalan and Chen Wang. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Casey Kute Schulz exemplifies the spirit of innovation in the realm of autonomous motile devices. His contributions, particularly in LIDAR malfunction detection, are paving the way for safer and more reliable autonomous technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
