Mountain View, CA, United States of America

Michael Wiesinger

This inventor holds 1 USPTO granted patent. Top assignee: Kodiak Robotics, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Wiesinger. Retrieved from https://idiyas.com/inventor/michael-wiesinger-cpl23sea

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

Calculating rank

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: Michael Wiesinger and Vehicle Sensor-Pod Installation

Introduction

Michael Wiesinger is an inventor associated with Mountain View, California, and Kodiak Robotics, Inc. His patent work addresses the practical installation and removal of sensor equipment on vehicles.

Latest Patents

Wiesinger is credited with 1 patent: “Method for Installing and Uninstalling a Sensor Pod.” The invention describes aligning a sensor pod arm with a vehicle-mounted bracket and lowering it into place. A support axle bears the pod’s weight before the arm is rigidly coupled to the bracket, allowing the arm to be rotated into alignment and secured. The patent also describes a method for uninstalling the sensor pod.

Career Highlights

Wiesinger’s documented patent contribution focuses on a mounting process designed to support the sensor pod during installation and removal. This approach addresses the handling and attachment of vehicle-mounted sensing equipment.

Collaborations

Wiesinger is associated with Kodiak Robotics, Inc. His coworker, Gauri Rajendra Khanolkar, is also identified in the provided information.

Conclusion

Michael Wiesinger’s patent describes a structured way to install and uninstall a vehicle sensor pod, with a support axle helping manage the pod’s weight before it is secured.

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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