Gasgoo Munich- RoboSense and Neolix have agreed to deepen their strategic partnership, aiming to accelerate the global rollout of Level 4 autonomous vehicles. Under the agreement, Neolix's new RoboVan lineup will come standard with RoboSense's digital main LiDAR and solid-state blind-spot sensors. Cumulative installations over the product lifecycle are expected to exceed 300,000 units.
Image Credit: RoboSense
Neolix boasts deep industry roots as the first autonomous delivery firm to complete 100 million kilometers of real-world verification. By January 2026, cumulative deliveries had surpassed 16,000 units, underpinning a global network spanning 15 countries and more than 300 cities. Multiple models, including the X3 and X6, have already achieved large-scale deployment.
The partnership dates back to March 2025, when a strategic alliance sparked continuous breakthroughs in technical collaboration and commercial deployment. At the China Hi-Tech Fair in November 2025, the two unveiled the digital "Fairy" LiDAR, which immediately went into service on the Neolix X3. By CES 2026, an L4 autonomous logistics vehicle featuring the Fairy sensor was on display, showcasing mass-production capabilities. Securing this 300,000-unit order confirms the strong alignment between their technological roadmaps and business strategies.
RoboSense’s "Main + Fill" LiDAR solution leverages a digital architecture to deliver high precision, reliability, and scalable supply. Through deep integration with industry leaders like Neolix, JD.com, and Meituan, RoboSense now ranks first in the industry for LiDAR installations on autonomous delivery vehicles.
The autonomous delivery sector is entering a phase of explosive growth. The China Research Institute of Industrial Economy projects the country’s unmanned logistics market will hit 263.4 billion yuan by 2030, with an annual growth rate exceeding 40%. This deeper collaboration between RoboSense and Neolix not only lays the groundwork for global expansion but also cements LiDAR as a standard feature in unmanned logistics vehicles, accelerating the industry's shift toward mature commercialization.
