The idea that a physical architecture like that of Festo could "reduce the fragmentation" of vision systems without clear metrics is an assertion that requires evidence.
Without knowing the n of tests or the p-value demonstrating this unification, it remains a subjective observation.
How do we measure the "fragmentation" of a vision system before and after integrating a robotic arm? For example, if the vision system uses sensors from different brands with incompatible data formats, the arm, no matter how flexible, won't make them more consistent.