A trending thread on r/singularity has just woken up the community: Xiaomi has shared three hours of autonomous production data from its Beijing EV factory, and what people are reacting to isn't the marketing — it's that the numbers actually look real.

The task the robots solved is dry and technical: bilateral installation of self-tapping nuts on integrated die-cast parts. In other words, not a showroom stunt, but a repetitive, demanding assembly job where precision actually matters for product quality. The result was a 90.2% success rate and a cycle time of 76 seconds — which, according to Xiaomi, matches what the production line actually requires.

The technically interesting aspect here is the approach. Xiaomi uses a VLA (Vision-Language-Action) model that fuses visual input with data from fingertip sensors. It's this combination that people on HN and Reddit are discussing most intensely — that real-time sensory feedback is integrated directly into the decision-making loop, not just used as a correction signal afterwards.

For the first time, we're not just seeing a high success rate — we're seeing it documented under actual production conditions, not controlled lab environments.

The context makes this even more interesting. Competitors are numerous — Tesla Optimus, Figure AI, Agility Robotics' Digit — but most have not yet delivered production data on this scale. AgiBot and Unitree lead in volume (approximately ~5100 and ~4200 units delivered in 2025, respectively), but Xiaomi's focus seems to be on proving performance per robot, not just scaling numbers.

Xiaomi's Robots Take Over the Factory: 90% Success Rate in Live Production - Bilde 1

What does this mean going forward? The community is split. Some point out that 90% still means one in ten attempts fail — and in a high-volume production line, that can get expensive. Others believe the threshold for «good enough» is much lower than people think, especially when robots can work 24/7 without break requirements.

What we know for sure: ROI figures for humanoid robots in the industry are moving in the right direction — McKinsey estimates a payback period of 2.8 years on average now, down from over five years in 2019. Xiaomi's data helps make that business case more concrete.

Important caveat: These are early signals from community sources. The data has been shared by Xiaomi itself, not independently verified. Treat it accordingly — but it's definitely worth keeping an eye on what comes out of this in the coming weeks.