Pavia, Italy

Lapo Frascati

This inventor holds 1 USPTO granted patent. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lapo Frascati. Retrieved from https://idiyas.com/inventor/lapo-frascati-a3bwgm15

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


Average Co-Inventor Count = 1.0


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lapo Frascati: Innovator in Vehicle Control Systems

Introduction

Lapo Frascati is a notable inventor based in Pavia, Italy. He has made significant contributions to the field of vehicle control systems, particularly through his innovative approach that combines neural networks with physics-based predictions. His work aims to enhance the safety and efficiency of vehicle operations.

Latest Patents

Frascati holds a patent for a groundbreaking invention titled "Vehicle control combining neural network and physics prediction." This patent outlines methods and systems that utilize sensors to gather data on vehicle operation. The processor in the vehicle processes this data through a grey-box model, which integrates both a neural network model and a physics-based model. This innovative approach allows for the determination of the vehicle's trajectory and the execution of control actions based on real-time sensor data.

Career Highlights

Throughout his career, Lapo Frascati has focused on advancing vehicle technology. His patent represents a significant milestone in the integration of artificial intelligence with traditional vehicle control systems. This innovation not only showcases his technical expertise but also his commitment to improving automotive safety and performance.

Collaborations

Frascati has collaborated with notable professionals in the field, including Vladimir Suplin and Avshalom Suissa. These partnerships have contributed to the development and refinement of his innovative vehicle control systems.

Conclusion

Lapo Frascati's contributions to vehicle control technology highlight the importance of integrating advanced computational models with practical applications. His work continues to influence the automotive industry, paving the way for safer and more efficient vehicles.

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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