The AXL 15 iGo automates truck loading and unloading
Intralogistics solutions provider, STILL has released the AXL 15 iGo, a low lift pallet truck that automates the handling of incoming and outgoing goods at the loading ramp.
Introduced at LogiMAT 2026, the pallet truck is specifically designed for the loading and unloading of trucks, which is an aspect of materials handling that is often seen as unsuitable for automation.
“With the AXL 15 iGo, we are closing a long-standing gap in intralogistics by making automated truck loading and unloading standardised and widely accessible for the first time,” explains Dr Florian Heydenreich, managing director sales and service at STILL.
"Our solution makes the receipt and dispatch of goods more efficient, safer, more predictable and more reliable.”
The AXL 15 iGo uses two different technologies to ensure precision and safety.
Outside the trailer, it employs modern 3D visual SLAM technology. Using sensors, it can detect when a truck moves away from the dock unexpectedly and stop accordingly.
Once inside the trailer, the system switches to LiDAR-based localisation, enabling precise operation and flexibility.
LiDAR safety scanners, camera systems, and visual and acoustic warning signals ensure that people and obstacles are reliably detected and protected, even in confined spaces.
Thanks to localisation and positioning logic combined with a new, holistic safety concept, the pallet truck can independently recognise the conditions inside the trailer and position the pallets accurately.
The AXL 15 iGo does not require an additional safety-at-the-gate concept involving stationary installations, such as scanners or reflectors, in the dock or trailer. This makes the solution highly flexible, quick to implement, and easy to use.
As a result, two vehicles working together can autonomously load up to 30 EPAL pallets into a trailer in around 35 minutes.
“The AXL 15 iGo is not a concept study, but a market-ready solution for the autonomous loading and unloading of hard and soft wall trailers within clearly defined parameters,” says Heydenreich.