Physical AI pioneers are partnering to connect warehouse automation. Ambi Robotics Inc. and Pickle Robot Co. today said they have successfully integrated their stacking and truck-unloading systems in response to demand from Fortune 500 retail and logistics operators.
The companies said the combination of their technologies fully automates the movement of packages, from trailer unloading through pallet stacking and receiving. They also said the collaboration demonstrates how warehouse operators can deploy robots from multiple providers to address labor-intensive workflows while maintaining operational flexibility.
“Warehouse operators shouldn’t have to choose between best-in-class technologies and seamless integration,” stated Jim Liefer, CEO of Ambi Robotics. “As physical AI transforms supply chains, interoperability will become increasingly important.”
“We believe the future of warehouse automation will be built on collaboration across the industry, where specialized systems work together to solve complex operational challenges,” he added. “This deployment demonstrates that the next generation of automation will be built on interoperable physical AI systems that combine the strengths of specialized technologies to create greater value for customers.”
Ambi Robotics applies AI to material handling
Founded in 2018, Ambi Robotics said it has developed robots and AI to scale e-commerce operations to meet demand while empowering humans to handle more. The Berkeley, Calif.-based company said its experienced staff is focused on building cost-effective, high-volume supply chain technologies.
“We’ve been using AI in physical systems for a while before the term ‘physical AI’ became hot,” Stephen McKinley, co-founder and chief operating officer at Ambi Robotics, told Automated Warehouse. “We use AI to develop reactive systems that act in more unstructured environments.”
Ambi designed its AmbiStack system to stack packages onto pallets or into containers. The company said it can integrate with a range of automation and warehouse systems, enabling deployment within broader material handling environments without reliance on a single vendor ecosystem.
“New algorithms on AmbiStack enable it to approach the packing problem using generative AI like chatbots create sentences based on words,” explained McKinley. “It can Tetris unknown objects together to maximize the fill of an output container from the known vocabulary of the conveyor belt. It’s building a container like a sentence.”
Pickle Robot takes robotics to the dock
Founded in 2018, Pickle Robot brings systems to relieve inbound dock workers of strenuous truck and container unloading. The Charlestown, Mass.-based company claimed that its physical AI can improve safety, efficiency, and scalability.
The company has a stated goal of reaching 1 million doors with its robots over the next decade. In December 2025, Pickle announced that United Parcel Service Inc. planned to spend $120 million on 400 of its systems.
“Customers want automation that improves real-world throughput while fitting into existing operations,” said AJ Meyer, founder and CEO of Pickle Robot. “This collaboration shows how robotic unloading can integrate seamlessly with downstream automation systems to help move goods more efficiently through the warehouse, and it sets the stage for orchestrating multi-robot processes that can self-improve and self-correct over time.”
“It doesn’t make sense for Ambi to build an end-of-line palletizer robot, but we have physical AI modules on picking grounded in tens of millions of data points from actual experience,” noted McKinley.
The joint deployment will enable a continuous and autonomous flow of packages from inbound trailers through receiving operations, said the companies. Pickle Robot‘s systems will unload cases from trailers. They will then be inducted via conveyor into AmbiStack for identification, scanning, and stacking for downstream warehouse operations.
“The end-to-end solution leverages existing warehouse infrastructure and systems, enabling customers to fully automate critical inbound processes without major facility redesigns,” said the companies.