Ambi, Pickle deliver integrated physical AI solution for logistics
The deployment combines Pickle Robot’s trailer-unloading robots with Ambi Robotics' AmbiStack multi-purpose stacking solution, enabling a continuous and autonomous flow of packages from inbound trailers through receiving operations.
Ambi Robotics, a US-based provider of AI-powered robotics for commercial operations, and Pickle Robot Company — which is headquartered in Boston, Massachusetts — have announced the successful integration of their robotic systems, fully automating the movement of packages from trailer unloading through pallet stacking and warehouse receiving operations.
The deployment combines Pickle Robot’s trailer-unloading robots with Ambi Robotics' AmbiStack multi-purpose stacking solution, enabling a continuous and autonomous flow of packages from inbound trailers through receiving operations, according to a media release.
Cases are unloaded from trailers by Pickle Robot’s systems, then 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, the media release said.
"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,” said Jim Liefer, CEO of Ambi Robotics. “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."
“Customers want automation that improves real-world throughput while fitting into existing operations,” said AJ Meyer, Founder and CEO of Pickle Robot Company. “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.”



