Is there such a thing as an unsupervised optimized sampling?

I have sigmoidal processes which I want to sample with, say, 10 points each. I dont know, a priori, the shape of each sigmoid.

Is there any smart way to sample the process as you collect information per sample????

suggestions welcome ;)