Zelostech Begins Mass Production of Map-Free L4 Autonomous RoboVans, Accelerating Global Autonomous Logistics Deployment

July 17, Singapore — At the 2026 World Artificial Intelligence Conference, Zelostech announced that its map-free Level 4 autonomous driving solution had entered large-scale production, marking a major milestone in the commercialisation of autonomous logistic

For autonomous logistics, the value of map-free autonomy lies in one key capability: faster deployment.Traditional autonomous vehicles depend heavily on high-definition maps prepared before deployment. Zelostech’s new system shifts the centre of intelligence back to the vehicle itself, using real-time perception and AI-based decision-making to understand the road as it moves.

The technology is already being introduced across approximately 30% of the company’s newly launched routes. By the end of July, Zelostech expects its accumulated map-free L4 operating mileage to exceed 40,000 kilometers.

Removing the Mapping Barrier to Scale Autonomous Logistics

High-definition maps played an essential role in the early development of autonomous driving. Built with centimetre-level detail, they gave vehicles advance information about lanes, intersections, traffic signals, road signs, and other fixed features.

That knowledge reduced the burden on onboard systems. Instead of interpreting every part of the road from the beginning, the vehicle could compare what it saw with a highly detailed digital model prepared in advance.

The approach worked, but it introduced a serious constraint.

Every new route required data collection, map production, testing, and validation. The maps then had to be maintained as roads changed. Construction work, temporary restrictions, and altered lane layouts could leave the digital record out of step with the real environment.

For an autonomous logistics industry preparing to expand across cities and continents, that process was too slow and too costly. A RoboVan entering a new logistics park or service area could require weeks of preparation before it carried its first load. Customers purchasing an autonomous vehicle might wait around a month before it was ready for everyday use.

From Light Maps to Map-Free Autonomy

Zelostech began removing that constraint in 2025 with the introduction of its light-map solution.Light maps retain only the road information needed for general guidance. The vehicle handles far more of the driving task through onboard perception and AI, reducing mapping costs and shortening deployment time to less than 15 days.

It was a meaningful improvement, but still an intermediate stage. Opening a new operating area continued to require road collection and map validation, followed by ongoing maintenance. True flexibility required the vehicle to function without a detailed map of the road prepared in advance.

Achieving that at Level 4 is significantly more difficult than introducing map-free features into a passenger car with driver assistance. In a Level 2 system, a person remains responsible for supervising the road and intervening when necessary. A Level 4 RoboVan must independently perceive its surroundings and complete the driving task within its operating area.

That demands more from every part of the system: perception, computing, engineering, decision-making, and the quality of the data used to train it.

In 2026, Zelostech completed the next step. Building on the light-map system, Zelostech developed a new generation of map-free L4 autonomous driving technology and became the first to bring it into large-scale production. The new system further reduces deployment costs while shortening the preparation period to less than one day. A vehicle can be delivered and placed into operation almost immediately.

Understanding the Road in Real Time

Zelostech’s map-free system enables RoboVans to understand and navigate complex road environments through real-time perception and AI decision-making.

Instead of relying on pre-built high-definition maps, the vehicle uses vision as its primary perception system, supported by LiDAR and other onboard sensors, to recognise lanes, traffic signals, road signs, vehicles, pedestrians, and surrounding conditions.

A navigation map provides basic route guidance, while the autonomous driving system continuously interprets the real world, determines its position, plans a safe path, and controls the vehicle based on current conditions.

This capability represents a major step forward for Level 4 autonomy. While map-free functions are increasingly used in driver-assistance systems, commercial L4 autonomous vehicles have traditionally depended on high-definition maps. Zelostech brings map-free autonomy into mass-produced L4 RoboVans designed for real logistics operations.

Built Through Real Operations

Commercialising map-free autonomy requires more than simulation, it requires extensive real-world experience.Zelostech’s RoboVans have accumulated more than 160 million kilometres of autonomous driving across over 300 cities, with a fleet exceeding 25,000 vehicles supporting logistics operations in postal services, retail, pharmaceuticals, cold-chain transport, and other industries.

These large-scale deployments expose the system to diverse road environments, traffic conditions, and operational scenarios, creating a continuous improvement cycle where real-world data strengthens autonomous capabilities.

With deployments and approvals across markets including Singapore, Malaysia, the UAE, and Europe. Zelostech has developed a globally adaptable platform designed to accommodate diverse regulations, road conditions, and logistics requirements.

A New Model for Global Deployment

The mass production of map-free L4 RoboVans changes how autonomous logistics can scale.Traditional autonomous vehicle deployment often requires extensive mapping and market-specific preparation. Map-free technology reduces these technical barriers, enabling faster deployment, lower operational costs, and greater scalability across regions.

As a result, L4 autonomous logistics can move beyond limited pilot projects toward broader commercial adoption, supporting larger fleets, more routes, and more industries.By combining mass production, real-world validation, and map-free autonomy, Zelostech is accelerating the transition of autonomous logistics from demonstration to everyday operations.

About Zelostech

Zelostech is the world’s largest RoboVan enterprise and a global leader in autonomous driving technology, pioneering large-scale commercial deployment of autonomous logistics across open and closed road environments. As the global pioneer of RoboVan, Zelostech developed the world’s first autonomous van to achieve fully driverless operation in real-world scenarios, powered by its map-free L4 full-stack proprietary technology. To date, more than 25,000 autonomous logistics vehicles are in active operation worldwide, accumulating more than 160 million kilometers, serving high-frequency, mission-critical logistics scenarios. https://zelostech.ai/

Media Contact: pr@zelostech.com