Blog

A RoboVan can complete a journey between two distribution centers while several other systems organize the work around it. Warehouse software identifies the goods to move. A fleet platform assigns the transport task. Vehicle equipment reports progress, and the receiving facility confirms delivery. Each contributes to the service, but each has a different responsibility.

Explore the UK’s Automated Vehicle Act, its implications for road-going autonomous delivery vehicle, and how pavement delivery robots differ.

Explore Germany’s legal pathway for L4 logistics vehicles, including vehicle approval, operating areas, technical supervision and ongoing fleet duties.

Understand the EU’s autonomous vehicle framework in 2026, including driving-system approval, national operating rules and implications for logistics fleets.

Explore China’s L4 autonomous logistics policy, including national vehicle admission, local delivery schemes and the safety standard taking effect in 2027.

Understand Saudi Arabia and Qatar’s autonomous vehicle frameworks, their different deployment stages, and the implications for RoboVan logistics services.

Malaysia's MyAV regulatory sandbox provides a structured path for autonomous vehicle testing on public roads. Explore how Cyberjaya is supporting Zelostech's L4 RoboVan trial and the development of autonomous logistics in Malaysia.

The UAE is building a structured framework for autonomous vehicle deployment, with Abu Dhabi establishing systems for registration, permitting, testing, monitoring, and commercial operations. For autonomous logistics, this creates a clearer path for introducing driverless vehicles into approved operating environments.

Last-mile delivery management in 2026 is moving beyond route planning. Explore how fleet automation, autonomous vehicles, and operational data are changing delivery efficiency and reliability. cLast-mile delivery networks are entering a new phase of automation. In 2026, logistics teams are looking beyond route efficiency to questions of vehicle selection, labor allocation, delivery frequency, and operating consistency.

Learn how L4 autonomous driving is enabling commercial logistics operations and how Zelostech RoboVans are supporting autonomous freight transportation in real-world logistics environments.

Last-mile delivery costs depend on more than distance. Learn how logistics operators can identify suitable transportation tasks, measure operating costs, and evaluate RoboVan automation.

Autonomous driving refers to the automation of driving functions that would normally require a human driver. Depending on the level of automation, these functions can include steering, acceleration, braking, monitoring the driving environment, following a route, responding to traffic, and maintaining a safe trajectory.

The definition of an autonomous vehicle is closely tied to the level of driving automation it provides. An autonomous vehicle is generally understood as a vehicle equipped with driving automation technology that can perform part or all of the dynamic driving task, depending on its level of automation and operating conditions. The level of automation depends on how much of the driving task the system performs and what role, if any, remains for the human driver.

This article explains what last-mile delivery means, explores its key operational challenges, and examines how L4 autonomous delivery vehicles can improve efficiency across different logistics scenarios.

Learn how Singapore’s autonomous vehicle regulations are evolving and how Zelostech RoboVans progressed from supervised public-road trials to approved supply chain operations with remote oversight. The article also examines Singapore’s proposed AV framework and what it means for larger-scale autonomous logistics deployment.

Discover what a RoboVan is and how Zelostech RoboVan supports autonomous logistics across last-mile delivery, retail distribution, cold-chain logistics, industrial logistics and commercial freight. Explore Z5, Z10 and Z20 capabilities, applications, fleet management and key specifications.

This article examines the commercial value, deployment scenarios, challenges, and infrastructure requirements of autonomous logistics vehicles. It explains how autonomous delivery can improve efficiency, reduce labor dependence, strengthen supply chain resilience, and support scalable logistics operations in airports, ports, industrial parks, and urban delivery networks.

Autonomous driving has never been constrained by technology alone.

Autonomous logistics connects energy efficiency with urban movement, helping cities move goods with greater safety, consistency, and sustainability.

Modern cities require smarter logistics systems to address safety risks, labor pressure, emissions, and the growing complexity of urban delivery.