China’s X Square raises $140M for robot brains

PLUS: Robots learn to lip-sync, FedEx demands super humanoids, Chery debuts AiMOGA


China’s X Square raises $140M for robot brains

Welcome back to your Robot Briefing.

Chinese startup X Square just landed $140 million from ByteDance to build foundation models exclusively for embodied AI, bringing their total raised to over $400 million in two years. The company argues that robots need fundamentally different intelligence than chatbots and is already demonstrating autonomous correction capabilities in real-world food delivery.

With Chinese early-stage robotics investment running five to six times higher than Europe, and deployments moving from pilots to production at breakneck speed, Western companies face a compressed competitive timeline. How much runway do businesses have left to finalize their automation strategies before this parallel ecosystem becomes the global standard?

In today's Robot update:

X Square secures $140M for Physical AI brains
Robots learn to lip-sync via mirror training
FedEx CEO demands super humanoids with extra elbows
Chery debuts AiMOGA robot family
News

China's X Square secures $140M to build 'Physical AI' brains

China's X Square secures $140M to build 'Physical AI' brains

Image Source: Gemini / There's A Robot for That

Snapshot: Chinese robotics startup X Square announced it raised RMB 1 billion ($140M) in a funding round led by ByteDance to develop foundation models specifically for embodied AI, arguing that robots need different intelligence architectures than chatbots.

Breakdown:

The company has now raised more than $400 million in just two years, with backing from ByteDance, Alibaba, and Meituan, while Chinese investment in early-stage robotics companies runs roughly five to six times higher than in Europe.
X Square's WALL-A system processes visual inputs and claims to understand causal physical relationships , enabling robots to infer hidden objects and autonomously correct errors without human intervention during real-world tasks.
The company recently demonstrated its Quanta X1 wheeled robot completing autonomous food delivery in open environments, handling challenges like strong winds and deformed packaging by self-correcting when it encountered operational stalls .

Takeaway: China is building a parallel robotics intelligence ecosystem with capital deployment that dwarfs Europe and rivals the U. S., complete with real-world deployments rather than just lab demos. For Western companies watching from the sidelines, the competitive timeline just compressed—this technology is moving from pilots to production faster than most strategic plans anticipated.

News

Robots finally learn to lip-sync via mirror training

Snapshot: Columbia Engineering researchers have created a robot that learns to realistically lip-sync by observing its own reflection in a mirror and watching human videos, using a new 'vision-to-action' learning model published in Science Robotics.

Breakdown:

The robot uses 26 facial motors beneath flexible silicone skin to learn lip movements through self-observation rather than pre-programmed rules, then applies those patterns by watching hours of YouTube videos of human speech.
Lead researcher Hod Lipson positions facial affect as robotics' "missing link" for deployment in customer-facing applications like education, medicine, and elder care, where the uncanny valley effect currently limits adoption.
Some economists predict over a billion humanoids will be manufactured in the next decade, but researchers acknowledge the technology still struggles with hard consonants like "B" and lip-puckering sounds like "W."

Takeaway: This research addresses a critical barrier to humanoid deployment in service roles, but the technology remains early-stage with notable limitations. Companies evaluating humanoid robots for customer interaction should monitor this space but shouldn't expect production-ready solutions for several years.

News

FedEx CEO: We need 'Super Humanoids' with extra elbows

Snapshot: FedEx's CEO is pushing back on the humanoid robot hype, arguing that copying the human form isn't enough for warehouse automation—the industry needs robots with capabilities beyond human anatomy.

Breakdown:

Raj Subramaniam told The New York Times that truck unloading presents a uniquely difficult robotics challenge because packages arrive in every conceivable size, shape, and weight combination, making standardized automation nearly impossible.
FedEx is testing robots with additional joints—what Subramaniam calls "super humanoid robots" with extra elbows for more degrees of freedom—though he acknowledged the technology is still in pilot stage and "not ready for prime time yet."
The comments contrast sharply with competitors' approaches: Amazon operates over 750,000 warehouse robots that Morgan Stanley estimates could save the company $10 billion annually by 2030, while GXO has taken an "aggressive" stance on humanoid deployment.

Takeaway: This is a rare public admission from a Fortune 500 operations leader that humanoid form factor may be the wrong solution for industrial automation. When executives start demanding robots that transcend human anatomy rather than mimic it, it signals the industry is moving past the anthropomorphic assumption toward pure function-driven design.

News

Chery debuts AiMOGA robot family

Chery debuts AiMOGA robot family

Image Source: Gemini / There's A Robot for That

Snapshot: Chinese automaker Chery Group unveiled its AiMOGA humanoid robot lineup at its 2026 AI Night event, featuring variants for retail, policing, and medical applications—signaling that automotive manufacturers with production scale are now serious competitors in the humanoid space.

Breakdown:

The lineup includes multiple specialized robots beyond the flagship Mornine humanoid, including the Wuyou R001 police robot and AiMOGA Care RN001 medical service robot, showing Chery's multi-industry approach rather than a single-use case bet.
The Mornine humanoid features 41 degrees of freedom with highly dexterous 12-DOF hands, speaks 10 languages with 95% accuracy, and reportedly learns new industry-specific tasks in about an hour using DeepSeek's large language models for decision-making.
Chery has already deployed 300 robots and 1,000 robotic dogs across 30+ countries, with Mornine earning EU hardware and software certifications—real traction that separates this from vaporware announcements common in the humanoid space.

Takeaway: Traditional manufacturers entering humanoids changes the commercialization timeline because they solve the production scaling problem that純 robotics startups struggle with—Chery can leverage existing automotive supply chains and quality systems. This deployment scale from an automaker subsidiary suggests the "humanoids in enterprise" era is arriving faster than the typical 3-5 year projections, especially in markets willing to adopt AI-powered service roles.

Other Top Robot Stories

Chery unveiled its AiMOGA humanoid robot lineup featuring 41 degrees of freedom and multi-language AI decision-making powered by DeepSeek, with 300 robots and 1,000 robotic dogs already deployed across 30+ countries—demonstrating how automotive manufacturers are leveraging existing supply chains to scale humanoid production faster than pure robotics startups.

Humanoid completed a two-week proof-of-concept at a Siemens Electronics Factory where its HMND 01 wheeled robot achieved 90%+ pick-and-place success rates, sustained 8+ hour autonomous operation, and moved 60 totes per hour in live production environments—signaling that industrial humanoid deployments are moving from controlled pilots to real manufacturing floors with measurable performance benchmarks.

🤖 Your robotics thought for today:
X Square raised $400M in two years to build robot-specific AI while Western foundation model companies are still retrofitting chatbot brains for physical tasks—does that mean China's betting specialized beats general-purpose, or are we just watching them skip straight to what actually works?

What's your take?

Until tomorrow,
Uli

China’s X Square raises $140M for robot brains

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