Guadalajara, Mexico

Rafael De La Guardia Gonzalez

This inventor holds 35 USPTO granted patents and 7 published patent applications and 1 EPO patent, primarily in Robotics And AI. Top assignee: Intel Corporation. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rafael De La Guardia Gonzalez. Retrieved from https://idiyas.com/inventor/rafael-de-la-guardia-gonzalez

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

Calculating rank
USPTO Granted Patents = 35 

% Patents Active = 62.9

 

Average Co-Inventor Count = 4.9

ph-index = 3

Forward Citations = 48(Granted Patents)


Location History:

  • Jalisco, MX (2018 - 2020)
  • Teuchitlan, MX (2019 - 2021)
  • Guadalajara, MX (2016 - 2024)

Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
Human-Robot Collaboration
Drone Navigation
Object Detection
Autonomous Vehicles
Generative AI
Trajectory Planning
Energy Reduction
Cooperative Mapping
Neural Networks
Collision Avoidance
Decentralized Synchronization
Thermoelectric Cooling
35 patents (USPTO):Explore Patents

Title: Rafael de la Guardia Gonzalez: Innovator in Autonomous Vehicle Technology and Robotics

Introduction:

Rafael de la Guardia Gonzalez is an esteemed inventor and technologist based in Guadalajara, Mexico. With a strong background in autonomous vehicle technology and robotics, Rafael has made significant contributions to the field through his inventive patents. Working for Intel Corporation, he has been at the forefront of developing cutting-edge solutions that enable robust object detection and classification, as well as dynamic routing for robots.

Latest Patents:

Rafael de la Guardia Gonzalez has an impressive portfolio of 20 patents, showcasing his expertise and innovative mindset. Two notable recent patents are worth highlighting:

1. Robust Object Detection and Classification Using Static-Based Cameras and Events-Based Cameras:

In this patent, Rafael introduces techniques that enable autonomous vehicles to accurately detect and classify objects in a scene using a combination of static sensors and event-based sensors. By leveraging both types of sensors, the system can overcome challenging environmental conditions such as overexposure, underexposure, and even motionless scenes. This patent enables autonomous vehicles to identify objects with high certainty, which would be difficult or impossible using individual sensors alone.

2. Methods and Apparatus for Dynamically Routing Robots Based on Exploratory On-board Mapping:

This patent demonstrates Rafael's expertise in robotics. It presents methods and apparatus for dynamically routing robots based on on-board mapping capabilities. By employing a depth camera, the robot's control system captures depth images of the environment, generates a map representing unoccupied space, and plots a path from a reference location to a target location. This innovative routing system enables the robot to navigate efficiently and intelligently in its surroundings.

Career Highlights:

Rafael's career at Intel Corporation has been marked by numerous achievements and contributions to the advancement of autonomous vehicle technology and robotics. His exceptional patents and inventions have significantly impacted the industry and solidified his position as a trailblazer.

Collaborations:

Rafael de la Guardia Gonzalez has collaborated with talented individuals within Intel Corporation and beyond. Notably, he has worked closely with David Gomez Gutierrez and Rodrigo Aldana Lopez, his esteemed colleagues, in developing groundbreaking solutions in the field of autonomous vehicle technology and robotics. Their combined expertise and collaborative efforts have resulted in notable advancements and raised the bar for innovation.

Conclusion:

Rafael de la Guardia Gonzalez is a visionary innovator who has made substantial contributions to the world of autonomous vehicle technology and robotics. His inventive patents, including the groundbreaking object detection and classification system and the dynamic routing method for robots, have significantly moved the industry forward. With an extraordinary career at Intel Corporation and fruitful collaborations with fellow experts, Rafael continues to make a profound impact on the field, driving the development of transformative solutions that shape the future of transportation and automation.

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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