Chapel Hill, NC, United States of America

Jeffrey Ichnowski

This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeffrey Ichnowski. Retrieved from https://idiyas.com/inventor/jeffrey-ichnowski

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Jeffrey Ichnowski

Introduction

Jeffrey Ichnowski is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of robotics and artificial intelligence. His work focuses on optimizing robot motion planning through advanced methodologies.

Latest Patents

Ichnowski holds a patent for a "Method to optimize robot motion planning using deep learning." This patent outlines methods and systems for high-speed constrained motion planning. In one embodiment, the method involves computing a trajectory from initial states of an autonomous system to final states using a neural network trained on trajectories generated by a non-convex optimizer. The trajectory is then updated according to the kinematic and dynamic limits of the autonomous system, allowing for efficient and smooth trajectories to be computed for effective real-time control while considering obstacles and physical constraints.

Career Highlights

Jeffrey Ichnowski is affiliated with the University of California, where he continues to advance his research in robotics and motion planning. His innovative approach has garnered attention in the academic and technological communities.

Collaborations

Some of his notable coworkers include Yahav Avigal and Kenneth Y Goldberg, who share a commitment to pushing the boundaries of robotics and artificial intelligence.

Conclusion

Jeffrey Ichnowski's contributions to the field of robotics through his innovative patent demonstrate his expertise and dedication to advancing technology. His work continues to influence the development of autonomous systems and their applications in real-world scenarios.

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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