FedEx, Dexterity expand physical AI deployment for autonomous trailer loading

Hagerstown Hub deployment expands multi-year collaboration with continued emphasis on safety and operational performance

Beckhoff Automation

By Robotics 24/7 Staff    August 6, 2026         

FedEx, Dexterity expand physical AI deployment for autonomous trailer loading

FedEx

Dexterity's deployment at the FedEx Hagerstown Hub in Maryland expands a multi-year collaboration focused on autonomous trailer loading, with a continued emphasis on safety and operational performance.

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FedEx, Dexterity expand physical AI deployment for autonomous trailer loading

FedEx

Dexterity's deployment at the FedEx Hagerstown Hub in Maryland expands a multi-year collaboration focused on autonomous trailer loading, with a continued emphasis on safety and operational performance.

FedEx and Dexterity announced an expanded collaboration to scale Dexterity’s Foresight world model and Mech trailer loading systems at the FedEx Hagerstown Hub in Maryland.

Built on multiple years of joint development, testing and operational validation, the companies said that the Hagerstown deployment expands the program beyond the pilot site previously used to validate the technology. FedEx and Dexterity said that it enables production at a significantly larger operational scale, with a continued focus on improving safety, consistency and performance.

FedEx and Dexterity harness physical AI for trailer loading

The companies said that trailer loading remains one of the most physically demanding and challenging workflows in parcel logistics and is fundamental to FedEx operations. It requires physical strength, endurance and real-time problem-solving. FedEx added that it is also one of the top areas where team members seek additional support.

With tens of thousands of trailers loaded daily across the FedEx network in the U.S., the company said that this process has historically been difficult to automate using traditional offerings. Through its collaboration with Dexterity, FedEx said that it is establishing not only how physical AI performs in trailer loading operations, but also how the technology integrates into broader hub operations, including destination planning, trailer assignment, maintenance and workforce processes.

“FedEx has a long history of using technology to make our network safer, smarter, and more resilient,” said Kawal Preet, executive vice president, planning, engineering and transformation at FedEx. “This expanded collaboration with Dexterity reflects our commitment to advancing capabilities that improve how we operate today while helping prepare our network for the future. As we continue evaluating and deploying physical AI in real-world environments, we see opportunities to enhance the speed, reliability and flexibility of our network, creating long-term value for our business and customers.”

Dexterity said that its trailer loader is powered by Foresight, the company-developed world model for physical AI that makes real-time decisions in dynamic environments. By combining vision, depth and touch, Dexterity said that Foresight predicts how physical AI actions impact the world. In autonomous trailer loading, the platform reasons across three spatial dimensions and time to optimize how packages are placed for space, stability and speed across a wide range of operating conditions. Foresight powers Dexterity’s dual-armed “superhumanoid” robot, Mech, which is designed for heavy industrial operations, while remaining compact enough to operate inside trailers.

“FedEx has been an extraordinary partner, bringing deep operational expertise, an unwavering focus on safety, and a clear vision for how physical AI fits into the future of logistics,” said Samir Menon, PhD, founder and CEO of Dexterity. “Hagerstown represents an important milestone in demonstrating how physical AI can operate reliably in a high-volume logistics environment, creating a blueprint for network expansion. This technology is not just a future promise; it can perceive, decide, and act in the real world today.”

 

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