To be honest, 89-92% sounds too optimistic for a real-world application. But I was talking about applications of the lego assembly model. My intuition is that

To be honest, 89-92% sounds too optimistic for a real-world application. But I was talking about applications of the lego assembly model. My intuition is that lego is a special case: the pieces are made to interlock with each other and there are only a small number of ways in which two pieces can lock together. Compare this with building a prefab house, for example, or a car, where elements must be bound together with nails, mortar, soldering, or glue etc, in essentially unpredictable ways. I say that the approach described is pointless because I can't see any real-world applications of extracting assembly plans from a visualisation of an already-known assembly plan. Even less so when the object assembled is just a toy. And it's been possible to assemble toys using machine vision, given a pre-determined set of instructions, from the 1970's already: (Donald Michie presenting the Edinburgh Research Purpose General Assembly Robot, a.k.a. "Freddy"): https://youtu.be/03p2CADwGF8?t=1668 https://youtu.be/03p2CADwGF8?t=1668 More info of Freddy here https://www.aiai.ed.ac.uk/project/freddy/ https://www.aiai.ed.ac.uk/project/freddy/ Freddy was tediously hand-programmed with a full plan but it used vision and touch to find the pieces of the toy it assembles in the video.