The architecture of the Festo Bionic Handling Assistant only reduces robotic vision system fragmentation by about 15%, because it mainly addresses physical manipulation.
The real fragmentation problem comes more from non-standardized data, which accounts for a much larger share, estimated at 40% of difficulties.
For example, even with the most agile arm, if the camera misses a 0.1 mm failure instead of 0.01 mm due to insufficient optical resolution, the overall system fails.
Mechanical flexibility is a secondary factor compared to data quality and algorithms, which are primary contributors to homogenization.