The team created a training data set through a concept they call time-reversed disassembly, where the sequence of disassembling a kit becomes a valid assembly sequence when reversed over time. This allowed them to train Form2Fit through self-supervision by randomly picking to disassemble a fully-assembled kit, then reversing that disassembly sequence to learn how the kit should be put together.
