I do not know and do not care much about robotics per se, but I wish LLM's were better with spatial reasoning. If the new insight helps with that - great!
I dabbled a bit in geolocation with LLM's recently. It is still surprising to me how good they are with finding the general area a picture was taken. Give it a photo of a random street corner on this earth and it is likely will not only tell you the correct city or town but most often even the correct quarter.
On the other hand, if you ask it for a birds eye view of a green, a brown and a white house on the north side of a one-way street (running west to east) east of an intersection running north to south, it may or may not get it right. If you want it to add an arrow going in the direction of the one-way street, it certainly has no clue at all and the result is 50/50.