Zurich, Switzerland

Lionel Federico Gulich

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lionel Federico Gulich. Retrieved from https://idiyas.com/inventor/lionel-federico-gulich

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

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lionel Federico Gulich and Robotics Speed Control.

Introduction

Lionel Federico Gulich is an inventor associated with Zurich, Switzerland, and NVIDIA Corporation. His patent work concerns mobile robotics and the use of environmental information to guide a robot’s speed.

Latest Patents

Gulich is credited with 1 patent: “Speed Determination in Robotics Systems and Applications.” The invention describes identifying obstacles along a mobile robot’s path using maps of its physical environment, then deriving speed limits for affected portions of that path. It also generates decisions about actions the robot can take so its speed profile complies with those limits.

Career Highlights

The available information associates Gulich with NVIDIA Corporation and identifies his work in robotics speed determination. The patent focuses on translating mapped obstacles into speed constraints and actionable control decisions for a mobile robot.

Collaborations

Gulich’s listed coworker is Pulkit Goyal. Their shared association is connected to the robotics patent information provided.

Conclusion

Lionel Federico Gulich’s patent describes a practical approach to mobile robot speed control, using mapped obstacles to set limits and guide the robot’s actions.

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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