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Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards

Apr. 20, 2026

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Rino.ai, in collaboration with Xinyuan Automobile, has launched the industry’s first automotive-grade unmanned vehicle, the Rino RX Autonomous Cargo Van. Built to commercial vehicle standards, it redefines the underlying product architecture and re-evaluates the full life-cycle cost structure of Autonomous Delivery Vehicles.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


“We must make unmanned vehicles true automotive products—safe and reliable like real cars. The industry should stop competing on price and instead compete on product quality, technology, and operational efficiency.”

On April 12, at the 2026 High-Level Forum on Intelligent Electric Vehicle Development, Huang Gang, President of Rino.ai, reiterated his call to build unmanned vehicles as true automotive-grade products. With over 30 years of experience in the commercial vehicle industry, his perspective was widely recognized by experts and industry practitioners.

In his view, the key question for large-scale commercialization is not pricing, but whether unmanned vehicles can operate safely, reliably, and with long lifecycle performance like traditional commercial vehicles.

Just days earlier, on April 9, Rino.ai and Xinyuan Automobile jointly announced the establishment of the world’s first OEM dedicated to Robovan vehicles, along with the launch of the industry’s first automotive-grade unmanned vehicle—the Rino RX Autonomous Cargo Van. Priced at RMB 135,800, the RX features a design lifespan of 8 years / 300,000 km, a 1.2-ton payload capacity, a 6m³ cargo volume, and a maximum design speed of 70 km/h.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


Safety and Reliability Are the Foundation of Scalability

In recent years, the unmanned vehicle industry has developed rapidly, scaling from hundreds of pilot vehicles to tens of thousands deployed on the road. Lower prices and lower entry barriers have enabled broader adoption. However, as real-world operations expand, underlying issues have quickly emerged—some vehicles can operate, but lack stability, are prone to failures, and may carry safety risks over long-term deployment.

This is exactly why Huang Gang, President of Rino.ai, has repeatedly emphasized: to reach the scale of tens of thousands, hundreds of thousands, or even millions of units, unmanned vehicles must be designed and manufactured like real automobiles—safe, reliable, and built for long lifecycle operation.

This statement highlights the core challenge the autonomous logistics industry is now facing.

For a long time, unmanned delivery vehicles functioned more like a supplementary capacity layer—operating on fixed routes and handling low-frequency, low-complexity tasks. But as scenarios become more complex, high-frequency, and long-duration, limitations quickly surface: insufficient safety, limited payload, poor mobility, unstable performance, low utilization rates, and inefficient maintenance—making it difficult to integrate into core logistics systems.

Rino.ai’s approach is to take a slower but more fundamental path. While much of the industry is engaged in price competition, the company spent 18 months rebuilding the vehicle from the ground up, strictly following automotive vehicle-grade (automotive-grade) standards for Autonomous Delivery Vehicles, redefining what a truly scalable unmanned logistics product should be.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


Huang Gang has repeatedly emphasized: “We hope to develop a safe, reliable, and durable product that can be confidently deployed at scale and that customers are willing to purchase and own.”

From Rino.ai’s perspective, this goal can only be achieved through automotive-grade standards. Here, “automotive-grade” is not just a configuration concept, but a complete system covering design, development, and manufacturing processes built for large-scale Autonomous Delivery Vehicles operations.


What Does “Automotive-Grade” Mean?

Admittedly, unmanned logistics vehicles are a new category born from autonomous driving technology and applications, and there is currently no unified national standard or regulatory definition.

The “automotive-grade” standard defined by Rino.ai and Xinyuan Automobile is not a simple replication of traditional commercial vehicle requirements. Instead, it is a redefined end-to-end framework built on the century-long automotive industry’s development, manufacturing, and validation systems, combined with the unique technical characteristics, operational needs, and real-world scenarios of autonomous vehicles.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


Huang Gang explained: “When we say ‘automotive-grade,’ it does not only refer to automotive-grade components. It means the entire vehicle development process follows applicable automotive industry standards, while also integrating the special requirements of autonomous driving technology and operational use cases.”


First, the development process


The unmanned vehicle development requirements and targets are decomposed into vehicle-level, system-level, and component-level design. Validation is then conducted in the reverse direction—from components to systems and the full vehicle.

The process is aligned with 63 vehicle-level standards and over 1,000 component-level standards. Meanwhile, Rino.ai has also established dedicated autonomous driving development, testing processes, and scenario-based test case libraries tailored to unmanned vehicle use cases.


Second, the manufacturing and supply chain system.


The RX upgrades and adapts a mature commercial vehicle production line with an annual capacity of 100,000 units, adding autonomous-driving-related processes such as ADAS installation, sensor calibration, and autonomous road testing.

Unlike the low-cost manufacturing approaches commonly seen in the unmanned vehicle industry, the RX uses over 100 sets of dedicated tooling and molds. Plastic parts are produced using injection molding instead of vacuum forming, and sheet metal parts use stamping processes rather than simple bending.

Although the upfront investment in tooling is higher, it brings clear advantages: higher production efficiency, better part precision and consistency, longer product lifespan, and lower long-term maintenance and spare parts costs—ultimately reducing total cost at scale.

In terms of the supply chain, the RX achieves 100% automotive-grade components across the entire vehicle. From the autonomous driving system to the drive-by-wire chassis, core parts come from 65 leading suppliers, including RoboSense, Horizon Robotics, Shuguang Axle, and Inovance.

Some components are shared with mature Xinyuan vehicle platforms—for example, the headlamp assembly is the same as that used on the Xinyuan E3L van.

This higher-standard supply chain and manufacturing system also creates a visible difference in product quality. As Huang Gang noted, some customers can immediately tell the RX is different at first sight.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


Finally, the validation system.


Rino.ai is the first to fully introduce a complete commercial vehicle testing and validation framework into unmanned vehicles, covering DV/PV (Design Verification / Production Verification) at the component level, control-by-wire system calibration and integration testing, as well as full-vehicle performance and reliability validation.

This includes fundamental performance testing, power and energy efficiency testing, electrical performance and EMC (electromagnetic compatibility) tests, water sealing tests, durability tests, and extreme environment testing.

The Rino RX completed over 200,000 km of full-vehicle reliability testing, including more than 8,000 km of durability runs across 20+ road cycles, as well as extreme climate testing ranging from -30°C to +55°C. The cold-weather tests were conducted in Heihe, Heilongjiang.

In addition, based on 7 years of autonomous driving testing methodology, accumulated scenario experience, and data, Rino.ai continuously performs software iteration and validation of autonomous driving capabilities.

All of these strict standards, complex processes, and heavy investments serve one goal: to make unmanned vehicles safer, more reliable, more stable, and more durable.




Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards


What Can “Automotive-Grade” Deliver?


For unmanned vehicles, “automotive-grade” is not an abstract concept, but translates into four concrete capabilities.

First, higher vehicle reliability.
Built on a full commercial vehicle forward-development process, the RX is developed over 18 months with 100% automotive-grade components, aligned with 1,000+ component standards and 63 vehicle-level standards. It has undergone over 200,000 km of rigorous testing, ensuring an 8-year / 300,000 km design lifespan (B10 durability target).

Second, stronger payload capability.
Based on a commercial vehicle chassis architecture, the RX comes equipped with 175 tires, an independent frame, and leaf-spring suspension, along with an e-axle design. It supports a maximum payload of 1.2 tons. Compared with conventional unmanned delivery vehicles, it is much closer to true commercial truck-level loading performance.


Rejecting Low-Price Competition, Rino RX Redefines the Economics of Autonomous Delivery with Automotive-Grade Standards



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