Now letting a robot roam around the premises wouldn't be much different than feeding it with slides of sensory stimuli.
The kind of experiences that the bot could only learn from moving around are beyond its sense-making; it can't gain any significant advantage from having wheels and hands and chasing the environment, because it doesn't know how to use them to enhance its knowledge and learn new kinds of things, in the way that a toddler can.
The only approach I know that seems promising in that respect is IBM's Watson - I'm not sure how it works exactly, but even if it's doing basic pattern recognition, the huge scale of parallel process and the enormous data corpus that it's feeded into Watson ''might'' just be what it takes to achieve sense-making in an emergent way.
On the other hand most algorithms will quickly plateau and not make much progress afterwards. Machine learning algorithms are nowhere near the ability of human brains and letting them run for 4 years wouldn't be much different than running them for a few weeks. (Also time on a supercomputer isn't cheap.)
Then let the damned thing explore! Why do we make such huge advances in robotics if not for this? A baby-like robot shouldn't be that hard to make. I'm no AI expert but couldn't we just throw our best learning AI in there and give the thing a couple of years?
Why are we trying to short-circuit human learning instead of mimicking it?