Chery extends its car-derived AI stack into robots and eVTOL

Daniel Okafor

Aimoga Robotics has shipped more than 3,000 robots for more than 100 applications across more than 60 countries and regions, according to Chery, giving its physical-AI push its clearest scale marker so far.

That figure covers Aimoga robots. It does not establish output for the factory-integrated Level 4 robotaxi or Lingxiao passenger eVTOL also being developed around Chery’s automotive technology stack.

What can one automotive stack actually do?

At Chery’s 2026 International User Summit, the automaker said its robotics and low-altitude aviation programs would draw on perception, control and manufacturing standards developed for cars.

At the center is CheryMind, a foundation model designed to learn how the real world behaves from road and harsh-climate test data. A companion system, the Chery All-World Engine, supports it.

Both systems underpin:

• Aimoga Robotics’ MoAgent agent;
• a factory-integrated Level 4 robotaxi; and
• the Lingxiao passenger electric vertical take-off and landing aircraft.

“A shared intelligence layer can lower development costs across sectors and let each product learn from the others,” Chery said. The commercial logic is straightforward: reuse automotive development work across machines that face different jobs but need common perception, computing and safety capabilities. Chery has not published a baseline cost, development timetable or data-sharing arrangement, so the savings remain a claim.

Takeaway: Chery has identified the common engineering layer, but the promised economics remain unquantified.

How far does the car supply chain reach?

Aimoga draws wholly on Chery’s car supply chain and reuses 70% of the automaker’s core vehicle research and development technology. That is roughly seven-tenths of the carmaker’s core vehicle R&D work, according to Chery, making Aimoga an extension of an established automotive OEM’s engineering base.

The announcement does not name an Aimoga manufacturing plant, annual capacity, investment, outside tier-one suppliers or vehicle-program allocation. Nor does it identify launch dates for the robotaxi or Lingxiao aircraft. In supplier terms, Chery has shown the technical inheritance but not the industrial plan.

Chery argues that automotive scale, quality control and a six-dimension testing regime can move these machines beyond prototypes. The regime includes extreme heat, cold, salinity and rough roads. Four environments are named, though six testing dimensions are claimed, leaving the remaining criteria undisclosed.

Cost and immature supply chains, Chery says, have held back wider commercial use. Its proposed remedy is the scale, purchasing discipline and quality control of the car industry.

Takeaway: The supply-chain reuse is concrete at 70%, while the manufacturing scale needed to commercialize it is still missing.

What has actually reached customers?

Chery says Aimoga has shipped over 3,000 robots for upward of 100 applications in more than 60 countries and regions. The robotaxi and eVTOL also pool perception, computing and backup safety systems, but the announcement gives no separate shipment count, deployment timetable or customer list for either.

That distinction matters. The 3,000-unit number is a cumulative shipment claim, not an annual production rate, and it indicates that Chery can point to more than prototypes in the robotics business. It cannot be used as evidence of robotaxi or passenger-aircraft output.

“Safe, reliable operation at scale” is the standard Chery says physical AI must meet, and the company applies that approach from cockpits to home services. No safety-performance threshold, unit economics or volume forecast was provided for comparison.

Takeaway: Aimoga has deployment scale; Chery’s newest autonomous vehicle and aircraft programs still have substantial disclosure gaps.

What should be watched next?

The next useful milestones would be:

• a dated commercial launch or fleet deployment for the Level 4 robotaxi;
• a passenger eVTOL timetable for Lingxiao, including approvals and production sites;
• Aimoga production and shipment capacity, with plant locations and key suppliers named; and
• policy decisions governing commercial robotaxi and passenger eVTOL operations, alongside evidence that supply chains can meet promised volumes at acceptable cost.

Takeaway: Chery must turn a shared stack into dated deployments, repeatable output and documented cost savings.

The common stack is still an engineering thesis with a 3,000-robot score attached.