The concept that the mechanical flexibility of a robotic arm like Festo inherently reduces system fragmentation is a dangerous oversimplification that does not take into account the actual costs and operational constraints.
Your P&L doesn't care about beautiful mechanics but about profitability.
If your object recognition algorithm is weak or sensor calibration is unstable, no matter the flexibility of the arm; you have a drawdown on your investment.
I have seen companies spend fortunes on equipment only to discover that the bottleneck was elsewhere, for example in network latency or image quality.
Without a clear ROI on this "reduction of fragmentation," it's an expense, not an investment.