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Babak-Esmaeili/README.md

Hi, I'm Babak Esmaeili

I’m a Ph.D. candidate in the Department of Mechanical Engineering at Michigan State University, specializing in risk-aware data-driven safe control, reinforcement learning, and motion planning for autonomous systems.

🔍 My research focuses on:

  • Safe motion planning and control for autonomous systems
  • Risk-aware and model-free safe reinforcement learning control
  • Adaptive and iterative learning control for exoskeletons and multi-agent systems
  • ROS/Gazebo-based development for autonomous vehicle control

💡 I enjoy solving complex engineering problems and developing elegant, mathematically grounded solutions.

📫 Feel free to reach out for collaboration or questions: esmaeil1@msu.edu.

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  1. Data-driven-Risk-averse-Safe-Control-NLPV Data-driven-Risk-averse-Safe-Control-NLPV Public

    Data-driven risk-averse safe control for stochastic nonlinear parameter-varying systems via λ-contractivity approach

    Python 2

  2. exoskeleton-Model-free-Iterative-learning-Control exoskeleton-Model-free-Iterative-learning-Control Public

    Code and simulations for model-free adaptive iterative learning control of exoskeleton robots

    MATLAB

  3. Data-driven-Iterative-learning-Multi-agent-Control Data-driven-Iterative-learning-Multi-agent-Control Public

    Data-driven iterative-learning integral sliding-mode formation control for unknown nonlinear non-affine multi-agent systems under disturbances

    MATLAB 8 3

  4. Risk-informed-Safe-LPV-Control Risk-informed-Safe-LPV-Control Public

    Data-driven risk-informed model-free safe control of LPV systems with MATLAB and ROS 2 examples (magnetic suspension and robotic vehicle).

    Python 1

  5. Risk-Aware-Safe-RL Risk-Aware-Safe-RL Public

    Simulation codes for “Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems.”

    MATLAB