South Glastonbury, CT, United States of America

Andrew J Radlbeck

This inventor holds 1 USPTO granted patent. Top assignee: Raytheon Company. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrew J Radlbeck. Retrieved from https://idiyas.com/inventor/andrew-j-radlbeck

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovations of Andrew J Radlbeck

Introduction

Andrew J Radlbeck is an accomplished inventor based in South Glastonbury, CT (US). He has made significant contributions to the field of autonomy through his innovative patent. His work focuses on enhancing the interaction between human operators and autonomous systems.

Latest Patents

Radlbeck holds a patent for a "System and method for predicting manned unmanned teaming (MUM-T) autonomy overrides." This method involves obtaining multiple data items from various heterogeneous data sources, including at least one sensor. The data items are related to the operation of an autonomy. The method processes these data items using a machine learning model to determine the likelihood that an operator will override an action of the autonomy during its operation. The output of this likelihood is then made available for review by a user.

Career Highlights

Radlbeck is currently employed at Raytheon Company, where he applies his expertise in autonomy and machine learning. His work is pivotal in advancing the capabilities of autonomous systems, particularly in scenarios where human oversight is crucial.

Collaborations

Some of his notable coworkers include Brett W Israelsen and Peggy Wu, who contribute to the innovative environment at Raytheon Company.

Conclusion

Andrew J Radlbeck's contributions to the field of autonomy through his patent demonstrate his commitment to enhancing human-machine interaction. His work continues to influence the development of advanced autonomous systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…