Hyster-Yale has announced a fully autonomous version of its high-reach forklift, specifically engineered for automated cold storage warehouses. Operating in -30°C deep-freeze environments is physically demanding for human operators, limiting shift lengths and increasing labor costs. The new Hyster Robotic Reach Truck utilizes a hybrid navigation system combining LiDAR (Light Detection and Ranging) and 3D vision cameras to navigate aisles and position forks.
The critical innovation is the "Freeze-Tech" sensor suite. Standard optical sensors often fog up or fail in sub-zero temperatures. Hyster-Yale has developed heated, nitrogen-purged enclosures for the LiDAR sensors and cameras, keeping the internal optics above 5°C even when the ambient temperature is -30°C. This ensures the machine can accurately detect rack labels and pallet voids without the performance degradation associated with condensation.
The reach truck also features automated fork sway control. In high-bay racking (up to 12 meters), a stationary robot mast can settle slightly after stopping. The robotic system uses an accelerometer to detect this settling and waits for the mast to stabilize before extending the forks. It then uses a laser range finder to locate the pallet entry holes with millimeter accuracy. By removing the operator from the freezer, the system allows for continuous 24-hour operation without the physiological limitations of cold stress, drastically increasing throughput in temperature-sensitive logistics.
