Kitchener, Canada

Jeffrey Gorchynski

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rockwell Automation Canada Ltd.. Active years: 2026.

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

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jeffrey Gorchynski and Safety Modes for Self-Driving Material-Transport Vehicles.

Introduction

Jeffrey Gorchynski is an inventor based in Kitchener, Canada. His patent work addresses safety in self-driving material-transport vehicles, with operating modes that adapt to the characteristics of the payload.

Latest Patents

Gorchynski is associated with 1 patent: “Systems and Methods of Operating a Self-Driving Material-Transport Vehicle Under Various Safety Modes.” The invention describes a processor that begins a mission, receives payload characteristics before engaging the payload, and sets an initial safety mode based on those characteristics. The vehicle then monitors the payload for changes and automatically adjusts its active safety mode to suit the payload. When no payload is present, the vehicle can enter a basic safety mode.

Career Highlights

Gorchynski is associated with Rockwell Automation Canada Ltd. His patent reflects work on autonomous vehicle operation and safety systems for material transport.

Collaborations

The provided information names Peiyi Chen and Dennis Clyne as Gorchynski’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Jeffrey Gorchynski’s patent focuses on adapting a self-driving material-transport vehicle’s safety mode to payload characteristics, including changes detected during operation.

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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