Bio

Robotics-focused engineer with software, controls, and applied machine learning experience.

Portrait of Muhammad Ibraheem

name: Muhammad Ibraheem

role: MS Robotics and Autonomous Systems Student

focus: robot learning, controls, autonomous systems

location: Tempe, Arizona, USA

Education

MS Robotics and Autonomous Systems, Arizona State University (2025 - 2027), GPA 4.00.

BS Mechanical Engineering, GIKI (2018 - 2023).

Technical Focus

Control and robotics: ROS/ROS2, LQR, PID, MPC, SLAM, reinforcement learning.

Programming: Python, C++, PyTorch, SQL, MATLAB, Git.

Tools: Isaac Sim, MuJoCo, SIMULINK, SOLIDWORKS, ANSYS, MSC Adams.

$ls ./projects/ --sort=time | head -2
01 Quadruped RL with 2-DoF Spine Personal Challenge
  • Modified a Unitree Go2 with a 2-joint spine and trained an RL policy for tight-corner navigation.
  • Designed observation and action spaces using IMU, joint states, and relative obstacle-goal pose.
  • Iteratively tuned rewards and dynamics constraints in Isaac Sim for robust hallway turning.

view-projects

02 Nonlinear Peer-Aware Cost Estimation GHOST Lab
  • Programmed a mobile robot to move based on a nonlinear peer-aware cost function.
  • Built real-time control and filtering stack with ROS, EKF, and MPC.
  • Integrated Bayesian intent inference for belief-aware decisions.

view-projects