Claiming that the architecture of the Festo Bionic Handling Assistant reduces fragmentation in robotic vision systems lacks observable measures.
How do you quantify this initial fragmentation (n=?) and the observed reduction? For me, such a statement requires a clear significance threshold and a data sample to be taken seriously.
For example, saying that a flexible arm simplifies software integration ignores the actual complexity of visual data fusion algorithms, which is the real source of fragmentation in a vision system.
The design of the arm is one thing, but true unification comes from the sensors and software working together coherently, not just the shape of the arm that manipulates an object.