Kawasaki Robotics and Dexterity Expand Physical AI Partnership for Warehouse Automation

Kawasaki Robotics and Dexterity announced an expanded partnership centered on Kawasaki's RL030N eight degrees-of-freedom (8 DoF) robot arm platform and Dexterity's Mech warehouse robots, as the companies look to accelerate Physical AI deployments in warehouse logistics.

The companies said Dexterity is expanding production and deployment of Mech robots that use the RL030N robot arm for tasks such as trailer loading and trailer unloading. The announcement was made ahead of Automate 2026.

The collaboration brings together Kawasaki's industrial robot arm technology, Dexterity's Mech hardware platform, and the company's Foresight World Model, an AI system designed to help robots operate in dynamic physical environments. Dexterity has emerged as one of several companies pursuing Physical AI systems that combine robotics hardware with AI models capable of handling real-world variability.

Designed for Unpredictable Warehouse Work

Unlike traditional factory automation, warehouse environments present constantly changing conditions. Packages vary in size, weight, shape, and orientation, while boxes can shift or become damaged during handling.

According to the companies, Dexterity's warehouse requirements helped shape the development of the RL030N platform. Kawasaki Robotics and Kawasaki Heavy Industries worked with Dexterity to create a production-ready robot arm capable of operating in environments where contact with packages, containers, conveyors, and surrounding equipment is common.

Paul Marcovecchio, Director - General Industries at Kawasaki Robotics, said the collaboration helped define requirements for AI-driven warehouse automation.

"Physical AI requires robot arms that combine industrial reliability with dexterity, reach, lightweight construction, and openness to real-time orchestration," Marcovecchio said.

The RL030N platform includes an additional articulation axis intended to improve flexibility in confined workspaces. It also uses Kawasaki's KRNX real-time control interface, which supports external AI software, Robot Operating System (ROS) environments, and third-party orchestration systems.

Dexterity combines those capabilities with its Foresight World Model and production software stack. The company says the system is designed to support high-throughput warehouse operations that have historically been difficult to automate. 

Physical AI Moves Toward Larger Deployments

The announcement reflects a broader shift across logistics operations as companies seek to deploy AI-powered robotics beyond pilot programs and into production environments.

Warehouse operators are increasingly investing in AI-driven automation technologies to improve throughput and address labor-intensive workflows. Similar trends are emerging across fulfillment, distribution, and supply chain operations.

Keshav Prasad, SVP of Product Engineering and Operations at Dexterity, said warehouse environments require robots that can adapt to unpredictable conditions.

"In a warehouse environment, packages vary, boxes move unpredictably, and contact is part of the job. Kawasaki Robotics' RL030N gives Mech the physical foundation for that environment," Prasad said.

The expanded partnership also highlights growing interest in combining world models with industrial robotics platforms. World models are designed to help AI systems understand and predict how physical environments behave, enabling robots to make decisions in real time.

The approach aligns with a broader movement toward AI-driven orchestration systems that coordinate robots, workflows, and warehouse operations across logistics networks.

Kawasaki Robotics is showcasing the RL030N platform at Automate 2026, where the companies are demonstrating how industrial robot hardware and Physical AI software can be combined to support warehouse automation at scale.