Cambridge, United Kingdom

Silvia Perez

This inventor holds 1 USPTO granted patent. Top assignee: Cmr Surgical Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Silvia Perez. Retrieved from https://idiyas.com/inventor/silvia-perez

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: Silvia Perez and Surgical-Robot Support Innovation.

Introduction

Silvia Perez is an inventor associated with Cambridge, Great Britain, and CMR Surgical Limited. Her listed patent describes an arrangement designed to support and stabilize a surgical robot on an uneven surface.

Latest Patents

The supplied information lists one patent for Perez: “Arrangement for Supporting a Surgical Robot.” The invention uses a planar member to support the robot and a bladder attached beneath it. The bladder has an external membrane that can conform to an uneven surface, while its internal cavity contains solid particles and can also hold fluid particles. An opening allows fluid particles to be extracted, increasing friction between the solid particles and helping stabilize the robot.

Career Highlights

Perez’s listed patent focuses on a practical challenge in surgical robotics: maintaining stable support when the underlying surface is uneven. The described arrangement combines a conformable bladder with adjustable particle friction to help secure the robot.

Collaborations

Perez is associated with CMR Surgical Limited. The supplied information also names Daniel Christopher Welchman and Roger James Springett as coworkers.

Conclusion

Silvia Perez’s listed invention presents a support mechanism intended to improve the stability of surgical robots on uneven surfaces, reflecting an engineering contribution to surgical technology.

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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