Given the complexity and the size of your data (44608 different trajectories for a 6-axis robot), a direct for loop approach might not be the most efficient or feasible solution, especially if you're dealing with Simulink models which are generally designed to run simulations over time rather than iterate through loops like traditional programming scripts. Instead of trying to loop through trajectories directly in Simulink or Stateflow, use a MATLAB script to manage this. The script can load each trajectory, set it as a parameter in the Simulink model, and then run the simulation.
Given the large number of simulations, consider using MATLAB's parallel processing capabilities to run multiple simulations simultaneously. This can significantly reduce the overall computation time. Remember to use parfor carefully, ensuring your MATLAB session has access to multiple cores and that there's no data dependency between iterations that could cause issues.
