Home> | Automation | >AGVs | >Smooth docking for pallets and dollies |
Home> | Lift trucks | >Counterbalance | >Smooth docking for pallets and dollies |
Home> | Lift trucks | >Fleet management | >Smooth docking for pallets and dollies |
Smooth docking for pallets and dollies
09 April 2020
A 3D camera and SensorApp solution from SICK has enabled rapid, damage-free guidance of automated and driver-assisted high-bay forklifts into pallet pockets, as well as the precise and efficient pick-up of dollies by automated guided vehicles (AGVs).

The SICK Pallet Pocket and SICK Dolly Positioning SensorApps run on SICK’s Visionary T-AP 3D time-of-flight snapshot camera. They promise to cut out delays associated with lining up both automated and manual forklifts to load pallets in high-bay warehouses, as well as positioning AGVs to collect dollies.
The new Apps, developed in SICK’s AppSpace software environment, work by positioning the camera in front of the pocket or dolly chassis within a working range of 1.5m to 3m. Using a single shot of light, the SICK Visionary T-AP 3D camera captures a 3D image, then pre-processes and evaluates the co-ordinates of the pallet pocket or space under the dolly, before outputting to the vehicle controller. The information can also be sent to a driver display to aid manual forklift operation, particularly useful in high-bay warehouses.
“For autonomous industrial trucks, and in manual high-bay forklift operations, where the driver cannot easily judge where the forks are entering into the pallet pockets, there is a high risk of damage to the forks, pallets, bay or the products themselves. Manually, it’s a trial and error process of aiming for the correct position, which can be time consuming. Automated systems using distance or photoelectric sensors could require significant programming effort and may not be as reliable,” explains Neil Sandhu, SICK’s UK product manager for imaging, measurement and ranging.
“To position an AGV to approach and slot neatly under a dolly can be slow and prone to error if relying on work instructions, marks on the floor, or point by point navigation. SICK has developed these new SensorApps to offer a highly reliable, robust new method of guidance which promises to make materials handling and logistics operations faster and more productive.”