Ali Souliman

• Technical development of an RL-based motion planning framework for the automated manipulation
of flexible wiring harnesses. - Engineered simulation-to-real pipeline using MuJoCo and RobotStudio to
validate AI trajectories against industrial kinematic constraints. - Implemented TCP/IP communication
bridges between high-level Python agents and ABB RAPID control code for hardware-in-the-loop testing.

• Conducted research in robot control and reinforcement learning applied to mechatronic systems. - Developed
simulated training environments for robotic platforms (e.g., Unitree G1) using MuJoCo and Gymnasium. -
Implemented real-time visual teleoperation systems using MediaPipe and ROS2.

• Deployed and programmed ABB IRB 14000 (YuMi) dual-manipulator system for automated chemical mem
brane synthesis. - Developed complex trajectory planning, synchronized gripper control, and conditional
motion logic using RAPID and RobotStudio.