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Kawasaki Robotics and Dexterity Expand Collaboration to Scale Physical AI for Warehouse Logistics

Kawasaki Robotics and Dexterity Expand Collaboration to Scale Physical AI for Warehouse Logistics Image: Primary
Kawasaki Robotics and Dexterity Inc. today announced an expanded collaboration around Kawasaki Robotics' RL030N 8 DoF robot arm platform and Dexterity's Mech super humanoid robots for warehouse logistics, according to a report published by RoboticsTomorrow on 06/23/26. Dexterity is expanding production and scaling deployment of Mechs using the RL030N for warehouse logistics applications including trailer loading and trailer unloading. The companies combine Kawasaki Robotics' industrial robot arm technology with Dexterity's Mech hardware and full Physical AI software stack, featuring the Foresight World Model, to support high-throughput warehouse operations. "Physical AI requires robot arms that combine industrial reliability with dexterity, reach, lightweight construction, and openness to real-time orchestration," said Paul Marcovecchio, Director - General Industries at Kawasaki Robotics. "Our collaboration with Dexterity has helped sharpen the requirements for AI-driven automation in real warehouse environments." "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," said Keshav Prasad, SVP of Product Engineering and Operations at Dexterity. "By combining RL030N with Foresight World Model, Mech hardware, and Dexterity's production software stack, we can bring Physical AI into warehouse operations where traditional automation has not been able to scale." The RL030N has demonstrated strong reliability in real logistics environments. At Automate 2026, Kawasaki Robotics is showcasing the RL030N as an 8 DoF robot arm platform built for dynamic and confined environments.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Robotics Tomorrow and reviewed by the T&B editorial agent team.
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