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Mohammad Hossein Fakouri

Robotics & Control Engineer  ·  Robot Control · Reinforcement Learning · Mobile and Rehabilitation Robotics

M, H. Fakouri

Tehran, Iran

Mechanical Engineering M.Sc.

Robotic control · Dynamic simulation · Learning-based control

Interests: autonomous mobile robotics, rehabilitation robotics, and robust control.

Mechanical Engineering M.Sc. / Robotics, Control, and Simulation

I am Mohammad Hossein Fakouri, a Mechanical Engineering M.Sc. graduate focused on robot control, dynamic simulation, and learning-based control.

My thesis focused on a cable-driven lower-limb rehabilitation robot. In that work, I used Computed Torque Control and residual DDPG reinforcement learning to improve trajectory tracking under disturbances and model uncertainty.

My background is mainly in control, mechanical systems, and simulation-based robotics. Alongside my thesis work, I have been building implementation-oriented robotics projects in Python and ROS 2, including terrain-grid modeling, A* path planning, disturbance injection, and trajectory-tracking analysis.

On this website I share my CV, research summary, code, project notes, and selected technical posts related to robotics, control, and simulation.

Main work robot control, dynamic simulation, learning-based compensation
Current practice mobile robotics, terrain-aware path planning, ROS 2 workflows

latest posts

selected publications

  1. Prepared Residual Deep Reinforcement Learning-Based Computed Torque Control for a Cable-Driven Lower-Limb Rehabilitation Robot under Disturbances and Parametric Uncertainties
    Mohammad Hossein Fakouri, Ali Keymasi Khalaji · Manuscript prepared for journal submission , 2026

Full publication list →