Autonomous Driverless Loading/Unloading by

Atlas AC1500

Loading/ Unloading upto 26 pallet/hr

Function : Driverless Loading & Unloading
Payload Capacity : 3300 LB/1500 KG
Reach Height : 8.2Ft to 14.7Ft/2500mm to 4500mm
Max Speed : 2.68 MPH
Navigation : LASER SLAM

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Solution features

Elimination of Manual Operation

Removes the need for human forklift operators, significantly reducing labor costs and mitigating risks associated with manual handling.

Advanced Computer Vision

Employs sophisticated computer vision technology for precise detection and handling of pallets, ensuring high accuracy in loading and unloading operations.

Continuous Operation

Capable of running around the clock, it maximizes operational efficiency and throughput, enabling businesses to meet demand without interruption.

Minimal Setup Required

Designed for easy integration with existing logistics infrastructure, ensuring quick deployment and scalability without extensive modifications.

Enhanced Safety

By automating the loading and unloading process, it reduces workplace accidents and injuries related to manual pallet handling.

Case Study

A major distribution center, facing challenges with slow turnaround times and high labor costs in their loading docks, turned to the Autonomous Truck Loading and Unloading solution to revitalize their operations. Upon implementation, the center experienced a transformative upgrade in efficiency. The autonomous system, with its advanced computer vision, was able to accurately identify, pick, and place pallets into container trucks, eliminating the bottleneck previously caused by manual loading and unloading. This led to a remarkable 50% increase in dock throughput, allowing for a significant uptick in daily shipments. Furthermore, the solution’s ability to operate 24/7 meant that the distribution center could keep up with the incoming and outgoing trucks at all hours, effectively doubling their operational capacity. Labor costs plummeted as the need for forklift operators was greatly reduced, and safety incidents associated with manual pallet handling dropped to zero. This case study serves as a compelling example of how integrating advanced autonomous technologies can drive unprecedented efficiency and safety improvements in logistics operations.