World AI Conference (WAIC) 2026 just wrapped up in Shanghai (July 17–20). At the largest annual AI conference in China, with 4,486 exhibits and 351 global debuts, embodied AI took center stage.
This year, dancing robots are no longer the spotlight. What stole the show was how many hours a robot runs on a real line, and at what success rate.
Xiaomi puts numbers on the table
After four months on its own EV assembly line, Xiaomi's Robotics-0 model took a self-tapping screw station from 90.2% to 98% success, roughly a point off the human benchmark, and picked up two new tasks at around 90%. It is a yield number in a real factory, not a demo figure in a lab. That's the kind of metric that matters to a plant manager.
Xiaomi is a unique player in the Physical AI space because it owns the factory its robots deploy into. Earlier last week, on July 15, it also open-sourced U0, a 38B multimodal model, and topped the WorldArena leaderboard.
Xiaomi showed the CyberDog quadruped in 2021 and the CyberOne humanoid in 2022, and released the Robotics-0 VLA in February 2026. This past week was the first time it has put hard factory-yield numbers on the table.
Factory deployment is the main character
The common theme across the booths was deployment evidence on real factory lines. Companies shared runtime and first-pass yield, the metrics buyers actually underwrite. Below is what we heard (all figures are company-claimed):
• AgiBot G2 Max into a JD Logistics warehouse: 24-hour palletizing at 18kg per arm, framed as the first humanoid on a live warehouse production line.
• Pia Automation (均普智能): multiple robots assembling BMS (Battery Management System) units at 99.9% success, on a 70-second cycle.
• Spirit AI (千寻) Moz1, its general-purpose humanoid: on a CATL battery-pack line, reporting above 99% on high-voltage plug insertion. It also debuted Moz2, and framed its strategy as “industrial first, then commercial, then home.”
• Galbot: units have run 7×24 at CATL for three months, and in pharmacies for over a year.
The brain race moved toward production
The model layer is consolidating around VLA and world models. The focus is on being deployable rather than demonstrable, a shift from capability claims to cost-and-reliability claims.
• Unitree UnifoLM-OminiA-0.3: released July 20, a single model running home-care tasks on the G1 with no switching between separate perception, decision, and execution models, which Unitree says lowers onboard compute. It was shown via a demo video (tidying, pill-box sorting, loading a dishwasher), rather than live deployment. Unitree is the shipment leader in 2025, more than 5,500 humanoids and roughly 11,000 G1 units off the line by May 2026.
• AgiBot: a three-part stack, GO-2 (action), GE-2 (which it says won the 2026 World Arena world-model track), and Genie Evolver (an RL layer). AgiBot is trying to own the whole intelligence layer on top of its own hardware, and the world-model piece is what governs whether a robot generalizes beyond trained tasks.
• Ant Lingbo: one brain driving mixed-vendor robots through a live pharmacy workflow. LingBot-VLA reportedly drove ~20 robot morphologies from 17 vendors, and completed a pharmacy fulfillment task in ~90 seconds. The cross-embodiment angle is the interesting part: a bid to be the software layer across many bodies rather than one robot's brain.
• AI2Robotics NeuroVLA: a brain-structured model following a cortex/cerebellum/spinal analogy. It sounds compelling, but the details were thin.
• WeRide WITT: a physical-AI model it says cuts token cost by up to 98% (company-claimed).
Capital pooled into the data and supplier layers
• LightWheel (光轮智能): pure-play embodied data and simulation, valued around ¥15bn (US$2.1bn) with Ant leading the round. It called itself the category's first unicorn and cited Q1 2026 orders of ¥550mn (~US$76mn).
• LimX Dynamics: roughly $200M pre-IPO at a ¥15B valuation. Lens Technology, an Apple supply-chain name, is one of the investors.
• Lens × Swancor (上纬新材): a first-phase 10,000-unit line of finished robots. Lens supplies actuators and joint modules to AgiBot and does whole-machine assembly for AgiBot's Lingxi (灵犀) line. Lens also cites 500k units/yr of dedicated capacity.
• 麦麦科技: orders for 20,000 robots across 16 agricultural scenarios in Malaysia.
Components matured in public
The less visible half of the deployment story is in the subsystems, where domestic suppliers are showing up across perception, actuation, and control.
• RoboSense E2: solid-state perception on a self-developed SPAD chip, 3x the prior precision.
• Joyson (均胜电子): a 20-DOF hand (16 active), 380 Wh/kg solid-liquid battery, denser actuators.
• Oymotion (傲意): over 10,000 dexterous-hand orders in the first half. UMA Robotics’ recent debuted humanoid is one of their customers.
