The reason it could do so many things was that the Fourth-generation Pen Master Handwriting Robot maintained an astonishing control precision of 0.02–0.04 mm over 24 hours of continuous operation!
That precision seemed far inferior to the 0.01–0.02 mm precision boasted for Mechanical Arms online, but in reality, it completely crushed those supposedly high-precision Mechanical Arms.
Because although the internet claimed that their Mechanical Arms could achieve 0.01–0.02 mm precision, that was repeat positioning accuracy, not absolute accuracy.
As for repeat positioning accuracy, the Fourth-generation Handwriting Robot was also top-tier, reaching ±0.01 mm.
But boasting about repeat positioning accuracy was meaningless, because many customers discovered they had been deceived after buying one.
Lin Feng had seen a case in his previous life where a customer required an assembly precision of 0.05 mm. The Mechanical Arm's repeat positioning accuracy was 0.1–0.2 mm, which seemed more than enough to perfectly meet the requirement.
But once it actually began operating, they discovered it was completely unqualified. Depending on the manufacturer's capabilities, the actual error often ranged from 0.1 mm to 1 mm, nowhere near the required 0.05 mm assembly precision.
So although Mechanical Arms seemed simple enough that any university graduate could design and develop a basic one,
actually making one well—achieving ultra-high precision while ensuring a long, durable service life—was extremely difficult.
And the reason this was so difficult was not that the Mechanical Arm's hardware materials failed to meet the standards.
Of course, hardware materials were part of the problem, but poor control precision could be addressed through software-based motion simulation and computational compensation.
The problem was that achieving precise computational compensation through software motion simulation stumped countless people. It was also what determined the strength of a company's core technical capabilities. This was the hardest issue to solve.
After all,