Warehouse robotics specialist Robust.AI is teaming up with Foxconn to ramp up production of its Carter robots. The partnership will help Robust.AI keep up with growing demand and strengthen its supply chain.
The Carter robot is designed to work alongside people in warehouses, helping move products, pick items, and sort packages. It doesn’t require any new infrastructure, and customers can switch between different tasks using software. According to Robust.AI, a recent deployment at a DHL facility in Las Vegas boosted picking productivity by more than 60% in just a few weeks.
“As shifting supply chains and international tariffs add complexity and costs to global logistics operations, our strategic manufacturing partnership with Foxconn will enable us to rapidly fulfill orders for Carter robots, which are delivering improved productivity and efficiency to some of the world’s largest logistics and manufacturing companies,” said Anthony Jules, CEO of Robust.AI. “Foxconn’s unparalleled global manufacturing capabilities make it one of the most trusted partners for advanced manufacturing in the world. Our combined robotics expertise will help multinational companies rapidly and cost-effectively streamline their logistics and warehousing operations and augment existing workforces with collaborative robotic automation solutions.”
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“Foxconn is pleased to expand its manufacturing partnership with Robust.AI and help accelerate and scale the production of its innovative Carter robotics platform worldwide,” added Foxconn Executive Vice President Bob Deng. “Our close collaboration at the onset of Carter’s development has contributed to the maturity, scalability, and reliability of the platform and its manufacturing processes, allowing customers to confidently invest in Robust.AI’s unique warehouse automation solution and see immediate improvement in their warehousing and logistics capabilities.”
Foxconn engineers have already been helping Robust.AI build Carter robots in the U.S., which is expected to reduce both production and deployment times.
