Remi Didier Robutel

Title: Remi Robutel: Innovator in Embedded Artificial Intelligence Augmented Sensors

Introduction

Remi Robutel is a notable inventor based in Versailles, France. He has made significant contributions to the field of embedded systems, particularly in the area of artificial intelligence and sensor technology. His innovative approach has led to the development of a unique patent that enhances the capabilities of three-axes sensors.

Latest Patents

Remi Robutel holds a patent for "Embedded artificial intelligence augmented sensors." This invention provides a method, sensor, and non-transitory computer-readable storage medium for estimating actual amplitudes of a waveform. The technology involves training a machine learning model for an embedded system of a first three-axes sensor with a limited range. This model estimates the actual amplitudes of a waveform that saturates the sensor in one of its three axes. The embedded system is designed to acquire a second waveform during the use of a tool that includes the first three-axes sensor. It isolates the second waveform that occurs after a specific event and extracts a multi-dimensional feature from it. The machine learning model then estimates the actual amplitudes of the second waveform based on this extracted feature.

Career Highlights

Remi Robutel is currently employed at Schlumberger Technology Corporation, where he applies his expertise in sensor technology and artificial intelligence. His work focuses on enhancing the performance and accuracy of embedded systems in various applications.

Collaborations

Throughout his career, Remi has collaborated with talented professionals, including Salma Benslimane and Ana Escobar. These collaborations have contributed to the advancement of innovative technologies in their respective fields.

Conclusion

Remi Robutel's contributions to the field of embedded artificial intelligence augmented sensors demonstrate his commitment to innovation and excellence. His patent reflects a significant advancement in sensor technology, showcasing the potential of machine learning in enhancing the capabilities of embedded systems.