In short, robots and humans use the same interface. Updating the programming in one robot causes the others on the same network to update, minimizing costs. In essence, software maintenance is also automated and fulfilled by a robot.
Moreover, robots are “trained” by the humans who were experts at those tasks. Since only one robot requires this training, there are large savings realized in overall training costs. The simplicity associated with upgrades and training one robot allows for faster scaling in production with significant savings and an immediate realization of scaled performance.
When all networked robots provide feedback to each other, their collective learning improves at the same time as it accumulates the lessons. With multiple robots working in tandem, it is easier to scale up production, speed, and efficiency.