This inventor holds 1 USPTO granted patent. Top assignee: Raytheon Company. 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: Brett W. Israelsen: Innovator in Manned Unmanned Teaming Autonomy
Introduction
Brett W. Israelsen is a notable inventor based in Glastonbury, Connecticut. He has made significant contributions to the field of autonomy, particularly in the area of manned unmanned teaming (MUM-T). His innovative approach combines machine learning with operational data to enhance the effectiveness of autonomous systems.
Latest Patents
Brett holds a patent for a "System and method for predicting manned unmanned teaming (MUM-T) autonomy overrides." This patent describes a method that involves obtaining multiple data items from various heterogeneous data sources, including at least one sensor. The method processes these data items using a machine learning model to assess the likelihood that an operator will override an action of the autonomy during its operation. The output of this process is then made available for review by a user. This patent showcases his expertise in integrating advanced technology with practical applications.
Career Highlights
Brett is currently employed at Raytheon Company, where he continues to develop innovative solutions in the field of autonomy. His work is instrumental in advancing the capabilities of autonomous systems, making them more reliable and effective in various operational contexts.
Collaborations
Brett collaborates with talented professionals such as Peggy Wu and Andrew J. Radlbeck. Their combined expertise contributes to the success of projects at Raytheon Company, fostering an environment of innovation and teamwork.
Conclusion
Brett W. Israelsen is a distinguished inventor whose work in autonomy and machine learning is paving the way for advancements in manned unmanned teaming systems. His contributions are vital to the future of autonomous technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
