Sure thing, I just turned the wall into a graph, each hold a node, each move an edge with a cost, then ran a shortest‑path algorithm to pick the minimal‑effort route. Turns out the optimal climb is basically a linear‑programming problem with constraints for reach and fatigue. Keeps the wall as a neat set of equations instead of a mystery.

Absolutely, I’m always trying to quantify the texture, the friction coefficient, even the micro‑bump distribution of each hold. It’s just… hard to forget that the brain still does the final “feel” check. I'll keep an eye on the sensor data and the gut reaction, just to stay balanced.