CORE Lab

Armin Abdolmohammadi

• Education

  • Ph.D., Mechanical Engineering
    University of California, Davis
  • Bachelor's degree, Mechanical Engineering
    Sharif University of Technology

Armin’s research focuses on the intelligent control of wheel loaders, integrating reinforcement learning and digital-twin simulations to enhance autonomous operation.
His work involves soil parameter identification to improve controller adaptability and precision, alongside the integration of reinforcement learning algorithms for optimal decision-making in real-world scenarios.

Armin is also developing a high-fidelity digital-twin environment using Algoryx for realistic gravel modeling, enabling accurate simulation and testing of control strategies. Additionally, he is working on a 1/14th scale RC wheel loader, implementing and validating advanced controller designs for real-world applications.