Austin, TX, United States of America

Dushyant Ulhas Wadivkar

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Torc Robotics, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dushyant Ulhas Wadivkar. Retrieved from https://idiyas.com/inventor/dushyant-ulhas-wadivkar

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

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: Dushyant Ulhas Wadivkar and Autonomous Vehicle Safety

Introduction

Dushyant Ulhas Wadivkar is an inventor based in Austin, Texas. His patent work concerns autonomous vehicle systems that assess driving risk and adapt vehicle behavior to conditions in the surrounding environment.

Latest Patents

Wadivkar is associated with 1 patent: “Systems, Program Products, and Methods for Controlling Autonomous Vehicles Traveling Within Environments.” The invention describes an autonomous vehicle equipped with sensors that detect information about its surroundings and objects within them. Its autonomy computing system calculates a drivable space consumption ratio by comparing the vehicle’s anticipated spatial occupancy with the available drivable space. It then determines a risk level from that ratio and adjusts the vehicle’s driving characteristics when a high-risk condition is identified.

Career Highlights

Wadivkar works at Torc Robotics, Inc., a company focused on autonomous vehicle technology. His patent reflects an approach to vehicle control that uses environmental data and available road space to inform risk assessment and driving adjustments.

Collaborations

Wadivkar’s listed coworker is Hing Fei Wong. Their shared professional context is connected to work at Torc Robotics, Inc.

Conclusion

Dushyant Ulhas Wadivkar’s patent highlights a method for helping autonomous vehicles evaluate available driving space, identify risk, and respond by adjusting their driving characteristics.

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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