Ambi Robotics, a provider of artificial intelligence (AI)-powered robotic sorting and stacking solutions for warehouse operations, has introduced AmbiStack, a robotic system designed to automate the complex process of stacking items onto pallets or into containers with maximum density.
AmbiStack addresses the growing demand for efficiency and scalability in supply chain operations. The system enables warehouse operations in manufacturing, distribution and e-commerce by rapidly and reliably stacking high-density mixed SKUs, reducing downstream transportation costs.
Source: Ambi Robotics
The solution alleviates the burden of repetitive, injury-prone motions for workers, allowing them to transition into higher-value roles as robot operators who assist robotic operations when needed.
"Logistics companies are under continuous pressure to deliver items faster and for lower cost, which puts a lot of strain on operations to maintain reliability while rapidly adapting for the future," the company explained. "AmbiStack can easily be configured to automate the repetitive motions involved in a wide variety of stacking and palletizing applications, driving greater accuracy and efficiency while future-proofing warehouse operations."
Unlike traditional automation, which is often expensive and inflexible, AmbiStack is a configurable system that can stack to multiple outputs across various use cases. These include building inbound pallets from floor-loaded trucks, assembling outbound pallets for retail distribution and stacking walled containers for parcel transport.
AmbiStack’s form factor, refined from years of gantry technology development, allows it to stack in different container types, including those with tall side walls or directly on the floor, seamlessly adapting to existing facilities.
The system features advanced AI technology that enables it to stack items without prior knowledge of their size, position or appearance. Powered by an AI vision system based on foundation models and built on data from more than 200,000 operational hours, AmbiStack analyzes, tracks and picks each item while performing quality control checks. Its AI planning system, built on simulation-to-reality technology, eliminates the need for extensive real-world data collection, allowing for rapid deployment.
AmbiStack also uses reinforcement learning to determine the most efficient way to stack unfamiliar items, adapting to real-world conditions to maximize pallet and container utilization.
Key features of AmbiStack include:
- Multi-container stacking: The ability to stack items in various containers, including pallets, the floor and walled containers.
- Adaptive stacking: Optimization of stacking configurations based on product shape, size and weight for maximum efficiency.
- Workflow flexibility: Compatibility with both single-SKU and mixed-SKU cases in any orientation.
- Multi-pick-and-place capabilities: The ability to pick and place multiple cases simultaneously to improve throughput.
- High output capacity: The ability to handle a large number of pallets per machine.
- Seamless integration: Compatibility with existing operations and warehouse execution systems.
With warehouse automation demand rising due to labor shortages and growing e-commerce sales, AmbiStack is positioned as a transformative solution. Customers can start with one application and scale to others, helping them stay competitive in the evolving logistics landscape.
By early 2026, Ambi Robotics expects its manufacturing capacity to meet the growing demand from queued customers.
