Asserting that the integration of vision systems reduces fragmentation is a hypothesis that requires clear observable metrics, not just intuition.
What are the criteria for this "fragmentation" and how is it measured before and after the integration?
For example, if a robotic arm can grasp an object 99% of the time, but the vision system only correctly identifies the object 70% of the time, the "fragmentation" is not truly unified.
A statistical sample (n=?) and a defined threshold would be needed to consider this reduction as a fact.
Without these data, it is only a qualitative assertion.