Dallas, AL, United States of America

Sleiman Safaoui

This inventor holds 1 USPTO granted patent. Top assignees: Mitsubishi Electric Corporation, Mitsubishi Electric Research Laboratories, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sleiman Safaoui. Retrieved from https://idiyas.com/inventor/sleiman-safaoui-cs3rp1ou

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sleiman Safaoui: Innovator in Motion Control Technology

Introduction

Sleiman Safaoui is an accomplished inventor based in Dallas, Alabama. He has made significant contributions to the field of motion control technology. His innovative approach combines machine learning with optimization techniques to enhance device motion in complex environments.

Latest Patents

Safaoui holds a patent for a "System and method for controlling motion of one or more devices." This patent describes a method for guiding a device from an initial state to a target state while navigating obstacles. The method utilizes a learned function trained with machine learning to create a trajectory that adheres to constraints imposed by the environment. By solving a convex optimization problem, the method aims to minimize deviations from the initial trajectory, ensuring efficient motion control.

Career Highlights

Throughout his career, Sleiman Safaoui has worked with notable organizations, including Mitsubishi Electric Research Laboratories, Inc. and Mitsubishi Electric Corporation. His experience in these companies has allowed him to refine his skills and contribute to advancements in technology.

Collaborations

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Conclusion

Sleiman Safaoui's work in motion control technology exemplifies the intersection of innovation and practical application. His contributions continue to influence the field and pave the way for future advancements.

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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