San Jose, CA, United States of America

Michael Ahn

This inventor holds 3 USPTO granted patents and 8 published patent applications. Top assignee: Figure Ai Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Ahn. Retrieved from https://idiyas.com/inventor/michael-ahn-soi33tx1

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

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Innovations of Michael Ahn in Humanoid Robotics

Introduction

Michael Ahn is an accomplished inventor based in San Jose, CA, known for his contributions to the field of humanoid robotics. He holds a total of 3 patents that focus on enhancing the capabilities and efficiency of humanoid robots. His work is pivotal in advancing the interaction and task execution among robotic systems.

Latest Patents

One of Michael Ahn's latest patents is titled "Dynamic task assignment amongst communicating humanoid robots." This patent outlines a method for coordinating task execution among multiple humanoid robots. The process involves receiving a high-level task command, decomposing it into sub-tasks, and determining a cost-optimized assignment using a cost-optimized bipedal action model (CoBAM). The CoBAM takes into account factors such as energy consumption, time to completion, and robot capabilities. It features a hierarchical architecture that includes an L2 beta model for high-level planning and an L1 alpha model for continuous control commands. The cost function considers battery levels, physical distances, and mechanical wear factors.

Another significant patent is "Bipedal action model for humanoid robot." This invention provides a humanoid robot system with a mechanical structure that includes a torso, two arms, and two legs, offering at least 30 degrees of freedom. The system is equipped with actuators, a sensor suite, and a computing system that implements a hierarchical bipedal action model. This model processes multimodal input data to generate task intent and environmental state, ultimately converting continuous action chunks into actuator control signals for execution.

Career Highlights

Michael Ahn is currently employed at Figure AI Inc., where he continues to innovate in the field of robotics. His work has significantly contributed to the development of advanced humanoid systems that can perform complex tasks efficiently.

Collaborations

Michael collaborates with talented individuals such as Corey Lynch and Toki Migimatsu, who contribute to the innovative projects at Figure AI Inc.

Conclusion

Michael Ahn's work in humanoid robotics exemplifies the potential of technology to enhance robotic capabilities. His patents reflect a commitment to innovation and efficiency in robotic task execution.

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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