Description

Dr. Ing. Mohamed Boushaki is Project Lead and Senior R&D Engineer in Robotics, Control and AI at Expleo Group, R&D department, Paris. He leads a multidisciplinary team of ten engineers developing novel industrial solutions in mobile manipulators, specifically for aeronautics applications. He serves as a technical consultant and is responsible for the deliverables, definition of the project timeline, Gantt chart, work packages and tasks. Before joining Expleo, he was an R&D Engineer at the KUCARS Center, Khalifa University, UAE (2019–2023). His work mainly focused on the control and applications of variable stiffness actuators, design optimization of exoskeletons, modeling and control of cable-driven robots, and he was responsible for the robotics manipulation part of the MBZIRC competition. From 2017 to 2019, he was an R&D Engineer at the BioRobotics Institute, Scuola Superiore Sant’Anna, Italy, where he worked on the integration of new surgical tools for the dVRK and force-reflection master–slave teleoperation.

Langues

Français
Bilingue ou natif

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Expleo
Project Lead, Senior R&D, Robotics and control
AÉRONAUTIQUE & AÉROSPATIALE
octobre 2023 - Aujourd'hui (2 ans et 8 mois)
Paris, France
Leading the development of an innovative mobile manipulator dedicated to the aeronautics industry, with responsibilities including the definition of project work packages, timeline planning, and integration of advanced
technical competencies. Key areas of expertise include model-free deep reinforcement learning (DRL)–based control for KUKA iiwa and Kinova robotic arms, as well as human–robot interaction. Development and testing
are conducted within the ROS 2 and Gazebo simulation environments.
Gestion de projet Matlab/Simulink Reinforcement Learning ROS2 Gazebo
KUCARS Center
Senior R&D Engineer
INGÉNIERIE MÉCANIQUE
avril 2019 - août 2023 (4 ans et 4 mois)
Abou Dabi, Émirats arabes unis
• Introducing a novel collision detection method combining time frequency analysis using continuous wavelet
transform and deep learning techniques. The proposed algorithm was applied to a planar two-link variable
stiffness actuator-based.
• Leading of the robotic manipulation part for the MBZIRC 2023 challenge and coordination of the project
with BIT team. Implement and test the kinematics modeling, the trajectory generation, and the control under
disturbance of the Schilling Robotics ORION 7 arm.
• Design optimization and control of a knee cable-driven exoskeleton : mathematical modeling of the cable
routing system, simulation and design parameters optimization based on a 3D Grid Search Algorithm.
• Control of a novel compliant supernumerary robotic limb for assistance. The trapezoidal velocity profile wasused for the trajectory generation and a robust controller ensured good control perfor- mance during the
stiffness variation.
• Development of a nonlinear PID control strategy for a continuous VSA-based manipulator designed for safe physical interaction with humans and the environment.
variations in actuator stiffness, ensuring stable and responsive behavior.
• Introducing a Grid Search optimization approach for a VSA-based knee rehabilitation exoskeleton system .
• Development of a gain-scheduling PID control strategy for a discrete VSA-based manipulator desi- gned to enable safe physical interaction with humans and the environment. The control strategy ensures high performance during online transitions between different stiffness levels.
• A CNN-LSTM algorithm with attention mechanism was developed for prediction of freezing of gate in Parkinson disease. Implementation under Matlab deep learning toolbox.
• Development of a robotized platform, which can accurately manipulate a rib assembly on a fastening machine. The platform will make use of cable-driven parallel manipulator dedicated to aero-structure industry.
This project is a STRATA/KU collaboration
ROS2 Matlab/Simulink Robotics Project Management automation
The BioRobotics Institute, Scuola Superiore Santanna
R&D Engineer
SANTÉ & BIEN-ÊTRE
janvier 2017 - avril 2019 (2 ans et 3 mois)
Pise, Italie
• In the framework of a regional project, the integration of a novel microwave tool for liver resection on the da
Vinci Research Kit (dVRK) has been performed and validated in ex-vivo and in-vitro test scenarios by expert
surgeons. Matlab ROS Toolbox was used to publish the desired Cartesian trajectory topics.
• Teleoperation of dVRK slave arm using Sigma 7; which is a haptic interface master with high pre- cision; and
study the effect of the haptic feedback on some surgical tasks (reflect the interaction force between the slave
tool and the environment to the master arm). This project is an IIT/SSSA collaboration.
• Robotizing a welding process, project in collaboration with GE company. A calibration approach has been
developed and implemented under Matlab based on the estimation of spherical shapes.
Robotics automation Python Matlab/Simulink Project Management