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China debuts humanoid robot automated production line
Guangdong Dongfang Precision Science & Technology, an equipment maker based in Guangdong, and Leju Robotics, a Chinese robotics company, have launched China’s first humanoid robot automated production line in Foshan with annual capacity above 10,000 units.
The line uses an industrial internet platform for digital management and quality traceability, and can produce one robot every 30 minutes with 92% of key processes automated.
Local authorities said Foshan produced more than 46,000 industrial robots in 2025, up 29.6% year-on-year, as part of Guangdong’s efforts to support the development of the intelligent robotics industry.
🔗 Source: China Daily
🧠 Food for thought
Implications, context, and why it matters.
Factory partners share a contract-manufacturing path for scaling humanoid robotics
- The site runs as a joint effort. Leju Robotics supplies the humanoid robot design, while Guangdong Dongfang Precision Science & Technology, an equipment maker that shifted from corrugated packaging equipment, takes on high-volume production plus support 1.
- DONGFANG Precision also owns a 2.8% equity stake in Leju Robotics to keep incentives aligned 2.
- Leju plans to pair its KUAVO humanoid robots with Huawei’s HarmonyOS (Huawei’s operating system for connected devices) and the Pangu AI model (Huawei’s large language model), which can lower the need for expensive in-house AI development 3.
- The effort draws on prior financing, including a $350 million series B round with participation from Tencent (a Chinese technology and social media company), among others 3.
Production volume signals viability, while software slows progress
- The factory joins a “Numbers War.” Companies use high output as a benchmark to win investment and support claims of commercial viability 1.
- Rivals also ramp up. Unitree Robotics (a Chinese robotics company) ties a funding push to a plant targeting 75,000 units per year, and estimates put AgiBot (a humanoid robotics company) at 39% of global humanoid shipments in 2025 2.
- The toughest hurdle is moving toward software that lets robots work in unpredictable environments, rather than only building hardware at scale 2.
- A university contest using Leju’s KUAVO robot in a simulator brought the gap into focus. Teams scored well on locomotion, yet earned under 20% of available points on perception-based tasks 4.
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