Tarzana, CA, United States of America

David Rosen

This inventor holds 1 USPTO granted patent. Top assignee: Machine Consciousness, Inc.. Active years: 2003.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Rosen. Retrieved from https://idiyas.com/inventor/david-rosen-rzmo0192

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


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: David Rosen and the Relational Robotic Controller

Introduction

David Rosen is an inventor associated with Tarzana, California. His work includes a robotic control system designed to coordinate a robot’s tasks and relate them to its own location and identity.

Latest Patents

Rosen is credited with 1 patent, titled “Relational Robotic Controller.” The invention describes a controller built from a stack of relational correlation sequencers. It coordinates tasks such as sound generation, memory storage and retrieval, and sensory processing.

A self-nodal map monitors information from pressure transducers, cameras, and microphones in relation to the robot itself, while other maps handle separate tasks. The patent describes how combining auditory, memory, and visual capabilities could enable a robot to coordinate camera-based perception, recall information, and communicate verbally.

Career Highlights

Rosen is associated with Machine Consciousness, Inc. His patent focuses on a framework for coordinating robotic functions around a representation of the robot’s own location and identity.

Collaborations

Alan D. Rosen is identified as Rosen’s coworker. The available information does not specify further details about their collaboration.

Conclusion

David Rosen’s “Relational Robotic Controller” patent presents an approach to integrating sensory input, memory, and communication in a robot through coordinated control 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]
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