I've been experimenting with combining RL-based control, FOC motor drives, and explainable strategies for our collaborative robot projects. One thing that keeps coming up: what works perfectly in simulation often behaves quite differently on real hardware.

For example:

• Small delays or sensor noise in real motors can destabilize what seemed stable in sim.

• FOC tuning that looked fine in simulation sometimes causes torque ripple or overshoot on the physical robot.

• Explainable policy outputs help a lot for debugging, but interpreting them in real-time is still tricky.

I’m curious—how do you usually bridge the gap between sim and real deployment? Do you rely more on incremental tuning, robust design, or enhanced observation strategies? Would love to hear your experiences.