---
title: "Former Xiaomi Executive Enters Embodied AI Sector; Xiaoyu Robotics Secures Hundreds of Millions in Series B+ Funding"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/285811785.md"
description: "The industry is shifting its focus toward scenarios and deliverables"
datetime: "2026-05-09T10:43:21.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/285811785.md)
  - [en](https://longbridge.com/en/news/285811785.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/285811785.md)
---

# Former Xiaomi Executive Enters Embodied AI Sector; Xiaoyu Robotics Secures Hundreds of Millions in Series B+ Funding

Entering 2026, the capital narrative in the embodied AI sector is undergoing a substantive divergence. The focus is shifting from blindly chasing the "humanoid" concept in laboratories to scrutinizing mass production and delivery capabilities in real-world industrial scenarios.

On May 9, general-purpose embodied AI technology company Xiaoyu Robotics announced the completion of a Series B+ funding round amounting to hundreds of millions of yuan. This round was jointly led by BAIC Industry Investment, Fosun Ruizheng, and C&D Emerging Industries. Existing shareholders Huaye Tiancheng and Guizhou Sci-Tech Innovation Angel Fund participated as follow-on investors. Didi and Li Wanqiang, co-founder of Xiaomi Corporation, made additional investments. Gengxin Capital served as the exclusive financial advisor and also participated in the investment.

In 2026, as embodied AI accelerates its deployment in real-world industrial scenarios, this investment lineup—spanning automotive, consumer electronics, and heavy construction machinery—sends a clear signal that industrial capital is positioning itself early for scaled applications.

Established three years ago, Xiaoyu Robotics' steady fundraising is closely tied to the background of its core team, with all founding members hailing from Xiaomi. Founder and CEO Qiao Zhongliang was formerly the head of MIUI R&D at Xiaomi; Co-founder and CTO Wang Wenlin was formerly the General Manager of Xiaomi's Software System Platform Department; and Partner Shi Jiangtong was formerly the General Manager of Hardware R&D for Xiaomi's ecosystem chain. All possess extensive experience in system development and hardware mass production for smart terminals at the scale of hundreds of millions of units.

Distinct from the frontier algorithm-focused approach of university AI scholars, Xiaoyu Robotics exhibits typical characteristics of large-tech engineering.

Its technical path does not involve starting from scratch to tackle the extremely complex general-purpose hardware body. Instead, it has established a "One Brain, Multiple Forms" architecture, concentrating core resources on developing the embodied brain and adapting a single underlying system to various types of hardware. This strategy, akin to the software-defined hardware shift seen in the smartphone era, offers substantial engineering advantages in cost control and hardware-software decoupling.

The three new lead investors in this round—BAIC, Fosun, and C&D—represent complete vehicle manufacturing, diversified industrial ecosystems, and heavy construction machinery, respectively. This deep involvement of industrial capital reflects a core evolution in the current embodied AI financing market: a shift from paying for technological concepts to paying for scenario efficiency and bulk orders.

According to public information, Xiaoyu Robotics has avoided the red ocean of C-end or lightweight interaction, instead entering the challenging deep-water zone of intelligent welding in heavy industry.

In 2024, it reached a cooperation agreement with Tangshan Panasonic on large-model robots and secured strategic procurement orders at the hundred-unit level from a leading heavy industry player. Currently, its first batch of mass production deliveries is underway.

The heavy investment by industrial giants at this juncture essentially endorses its platform technology combined with a commercial closed loop in heavy industry scenarios. Investors aim to introduce automated productivity into their own industrial chains at optimal costs, seeking efficiency advantages in manufacturing transformation.

Since the beginning of this year, the embodied AI sector has shown polarization, with capital converging on top players while tail-end companies face clearance. Xiaoyu Robotics' completion of Series B+ funding consolidates its position in the industrial embodied AI tier, but subsequent challenges remain severe.

The primary challenge is the engineering barrier to scaled replication. Heavy industry scenarios demand extremely high fault tolerance in extreme environments and stability for continuous operations. Scaling from initial deliveries of dozens of units to the deployment of thousands amplifies engineering difficulties exponentially.

Secondly, there is the generalization capability of large models. Achieving smooth system migration across vastly different industries such as automotive and shipbuilding requires continuous breakthroughs in underlying generalized reasoning capabilities and the accumulation of massive amounts of industrial know-how data.

As the industry focus shifts from laboratories to assembly lines, competition in embodied AI has evolved from a singular contest of algorithms into a comprehensive commercial race involving cost structures and yield guarantees. Financing is merely the entry ticket; the true test of mass production has just begun.

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