logo

For the Inventor, By the Inventor

Boston, MA, United States of America

Mouhacine Benosman

This inventor holds 40 USPTO granted patents and 11 published patent applications and 10 EPO patents, primarily in Reinforcement Learning. Top assignees: Mitsubishi Electric Research Laboratories, Inc., Mitsubishi Electric Corporation. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mouhacine Benosman. Retrieved from https://idiyas.com/inventor/mouhacine-benosman

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

USPTO Granted Patents = 40 

% Patents Active = 75.0

 

Average Co-Inventor Count = 2.2

ph-index = 4

Forward Citations = 57(Granted Patents)


Company Filing History:

goldMedal40 out of 1,698 
 
Mitsubishi Electric Research Laboratories, Inc.
 patents
silverMedal1 out of 16,602 
 
Mitsubishi Electric Corporation
 patents
where one patent can have more than one assignee

Years Active: 2014-2026

Loading Chart...
Loading Chart...
Areas of Expertise:
RF Power Amplifier
Deep Reinforcement Learning
HVAC Flow Control
Adaptive Estimator
Digital Pre-Distortion
Optimization
Model Predictive Control
Actuator Control
Mobile Sensors
Thermal State Control
Cable Sway Control
Crowd Flow Prediction
40 patents (USPTO):Explore Patents
1. 12669255 - Physics-informed smooth operator learning for high-dimensional systems prediction and control (2026-06-30),
2. 12561498 - GaN distributed RF power amplifier automation design with deep reinforcement learning (2026-02-24),
3. 12547805 - Method of RF analog circuits electronic design automation based on gcn and deep reinforcement learning (2026-02-10),
4. 12422824 - System and method for controlling an operation of a machine including at least one actuator (2025-09-23),
5. 12313276 - Time-varying reinforcement learning for robust adaptive estimator design with application to HVAC flow control (2025-05-27),
6. 12038727 - System for performing a task according to a reference trajectory (2024-07-16),
7. 11975451 - Simulation-in-the-loop tuning of robot parameters for system modeling and control (2024-05-07),
8. 11948071 - Deep learning-based online adaptation of digital pre-distortion and power amplifier systems (2024-04-02),
9. 11843353 - Interactive online adaptation for digital pre-distortion and power amplifier system auto-tuning (2023-12-12),
10. 11840224 - Apparatus and method for control with data-driven model adaptation (2023-12-12),
11. 11808472 - Controlling thermal state of conditioned environment based on multivariable optimization (2023-11-07),
12. 11790247 - Robust adaptive dynamic mode decomposition for modeling, prediction, and control of high dimensional physical systems (2023-10-17),
13. 11640162 - Apparatus and method for controlling a system having uncertainties in its dynamics (2023-05-02),
14. 11513484 - System for continuous-time optimization with pre-defined finite-time convergence (2022-11-29),
15. 11336231 - Power amplifier system and transfer learning-based autotuning optimization method thereof (2022-05-17),

Title: Innovations and Achievements of Mouhacine Benosman

Introduction: Mouhacine Benosman is an esteemed inventor based in Boston, MA, who has made significant contributions to the field of robotics and control systems. With a remarkable portfolio of 35 patents, his work focuses on advanced systems that enhance task performance through innovative methodologies.

Latest Patents: Among his latest patents, two stand out for their pioneering concepts in robotics:

1. **System for performing a task according to a reference trajectory** - This invention involves a system equipped with at least one actuator that changes the state based on control inputs. It features a memory that stores a dynamic model of the system, comprising both known and unknown parameters represented by probabilistic distributions. This system is designed to recursively determine the control input to effectively change the system's state.

2. **Simulation-in-the-loop tuning of robot parameters for system modeling and control** - This patent presents a comprehensive system that facilitates parameter tuning for robotic manipulators. It integrates a real-world robot with an interface for task and control parameters, alongside an auto-tuning module that updates parameters through optimization algorithms. This innovation significantly enhances the efficiency of robotic systems.

Career Highlights: Benosman's career includes pivotal roles at well-known research institutions. He has worked with Mitsubishi Electric Research Laboratories, Inc. and Mitsubishi Electric Corporation, where he has played a crucial part in developing advanced technologies in automation and robotics. His focus on real-world applications demonstrates his drive to transform theoretical concepts into practical solutions.

Collaborations: Throughout his career, Benosman has collaborated with prominent figures in the field, including Rui Ma and Scott Bortoff. These partnerships have led to fruitful exchanges of ideas and innovations, further establishing his reputation as a leading inventor in robotics and control systems.

Conclusion: With an extensive portfolio of patents and an impressive career, Mouhacine Benosman exemplifies the spirit of innovation in robotics. His contributions not only advance technology but also inspire future generations of inventors and engineers to explore new frontiers in automation and control systems.

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]
Loading…