How a Chinese Company Swept the Embodied Intelligence Olympics with Faster, Precise, Low‑Data Robotics

A Chinese robotics firm leveraged a self‑developed VLA model to win all three core tasks at Benjie’s Embodied Intelligence Olympics—peeling oranges, unlocking doors, and flipping socks—outperforming the industry leader Physical Intelligence by up to 35% faster speed, using 30% fewer samples and achieving higher precision in real‑world, fully autonomous scenarios.

Embodied AIVLA modelbenchmark competition

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How a Chinese Company Swept the Embodied Intelligence Olympics with Faster, Precise, Low‑Data Robotics

Xiaomi Tech

Mar 2, 2026 · Artificial Intelligence

How Xiaomi’s Tactile‑Enabled Robot Graduates from Lab to Automotive Assembly Line

The article details Xiaomi Robotics' transition of its VLA‑based robot with TacRefineNet tactile perception from laboratory experiments to a real automotive factory, achieving a 90.2% dual‑side success rate over three hours while meeting a 76‑second production cycle, and explains the end‑to‑end data‑driven control, multimodal sensing, whole‑body motion strategy, failure cases, and open resources.

TacRefineNetVLA modelXiaomi Robotics

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How Xiaomi’s Tactile‑Enabled Robot Graduates from Lab to Automotive Assembly Line

21CTO

Dec 22, 2025 · Artificial Intelligence

Open-Source XR-1: China’s First Embodied VLA Model for Robots

Beijing Humanoid Robot Innovation Center has open‑sourced XR‑1, the nation’s first VLA (vision‑language‑action) model that meets embodied‑intelligence standards, along with its supporting data sets RoboMIND 2.0 and ArtVIP, detailing its three‑stage training paradigm and cross‑modal capabilities.

ArtVIPEmbodied AIOpen Source

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Open-Source XR-1: China’s First Embodied VLA Model for Robots