Jul. 02, 2026
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As 2026 reaches its midpoint, the unmanned logistics sector has moved beyond fragmented pilot deployments and entered a critical phase of automotive-grade mass production and full-scenario commercialization.
Driven by continuous breakthroughs in full-stack autonomous driving technology, Rino.ai has achieved comprehensive progress across five key dimensions: product, technology, industry, capital, and commercialization. The company has now achieved large-scale deployment across more than 200 cities worldwide, with its operational network continuously expanding and commercial execution quality steadily improving—delivering a mid-year performance report that combines technological depth with commercial momentum.
From Single-Vehicle Intelligence to Physical AI: Building an Industry-Leading Multi-Layer Product System
In the first half of the year, Rino.ai advanced along an evolutionary path from single-vehicle intelligence to fleet intelligence, and further toward embodied intelligence, achieving breakthroughs across multiple layers in parallel: establishing a vehicle-grade mass production standard as the baseline for individual vehicles; improving fleet-wide operational efficiency through a FaaS (Fleet as a Service) multi-vehicle collaboration system; and introducing embodied intelligence capabilities into logistics scenarios through a dual-compartment vehicle architecture, enabling a key step toward end-to-end automation in logistics workflows.
This deepened technological evolution represents Rino.ai’s innovation journey from L4 autonomous driving toward Physical AI, enabling unmanned logistics vehicles to gain deeper perception, understanding, and interaction with the physical environment, and achieve full-process automation in complex operational scenarios.
1. Industry-first full vehicle-grade Robovan RX officially enters mass production and delivery
On January 16, the Rino RX, jointly developed by Rino.ai and Shineray Motors, made its global debut at the launch event. It achieves 100% vehicle-grade component coverage, follows full automotive forward development standards, and has passed over 200,000 km of rigorous reliability testing.
With a maximum payload of 1.2 tons and a 6 m³ modular cargo compartment, the vehicle can flexibly support scenarios such as express hub transfer, campus delivery, and retail distribution.
It was later exhibited at the 19th Beijing International Auto Show, showcasing a full L4 autonomous driving solution in collaboration with Hesai Technology LiDAR, becoming a benchmark exhibit in the smart logistics zone.

2. Large-Capacity New Product R24 Deployed in Operations, Opening a New Trunk-to-Store Sub-Line Logistics Segment
At the end of January, the industry-first 24 m³ ultra-large-capacity light truck unmanned vehicle Rino R24 began test operations in a logistics park in Shenzhen.
While mainstream unmanned logistics vehicles in the industry typically offer cargo volumes of only 5–12 m³, the R24 directly matches the carrying capacity of small-to-medium box trucks, filling the market gap in warehouse-to-store redistribution and short-distance high-capacity urban logistics.
Together with the RX model, it forms a dual-product lineup of “standardized last-mile vehicle-grade core model + ultra-large-capacity trunk transport vehicle”, building a complete product architecture that covers full-scale urban logistics demand.
3. Launch and Deployment of Rino Inside Solution
In January 2026, Rino.ai officially launched and deployed the Rino Inside standardized L4 autonomous driving software-hardware integrated open solution, completing a dual-product strategy of “vehicle sales + technology licensing” and establishing a differentiated model for technology export within the industry.
The solution fully leverages the RX vehicle-grade mass production technology system, provides continuous OTA updates, and establishes a scalable channel for autonomous driving technology licensing, expanding commercialization pathways for industry-wide deployment.


Embodied Intelligence: Dual-Cage Vehicle Enables Logistics Automation
The customized dual-cage autonomous vehicle has been deployed in SF Express’s transfer hub system, marking a key shift for unmanned vehicles from “running on the road” to “performing physical operations.”
Most autonomous logistics vehicles today focus on solving the problem of “driving on the road,” while Rino.ai’s dual-cage vehicle is designed to solve the problem of “doing physical work.” This represents a landmark application of embodied intelligence in logistics, and a critical step in extending Rino.ai’s capability boundary from autonomous driving to Physical AI.

Industry–Academia Integration: Unlocking Campus as a Smart Mobility Testbed
On January 13, Rino.ai signed a Memorandum of Understanding with The Hong Kong Polytechnic University, focusing on joint R&D in two core scenarios: campus autonomous delivery and campus security inspection.
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