SAP and Cyberwave Deploy Autonomous AI Robots in Live Logistics Warehouse, Cutting Training Time From Weeks to Hours
SAP and Milan-based Cyberwave have deployed fully autonomous AI-powered robots in SAP's St. Leon-Rot warehouse, handling box folding, packaging, and shipping fulfillment via VLA and reinforcement learning models.
Overview
SAP SE and Milan-based AI robotics startup Cyberwave deployed fully autonomous robots inside a live SAP logistics warehouse in St. Leon-Rot, Germany, the companies announced on May 11, 2026, according to PR Newswire. The robots perform box folding, packaging, and shipping fulfillment tasks without human intervention, using a combination of Vision-Language-Action (VLA) and Reinforcement Learning (RL) models that the companies say cut robot training time from weeks to hours.
What Was Deployed
The deployment runs on SAP Logistics Management (LGM), a cloud-native logistics execution solution with an API-first architecture, as RoboticsTomorrow reported. The integration layer is provided by the SAP Embodied AI Service, which translates warehouse tasks into precise robot commands, coordinated through SAP Business Technology Platform (BTP) and the Cyberwave platform, according to Robotics and Automation News.
Cyberwave’s system is designed around three stages: rapid data collection through intuitive demonstration interfaces that capture real warehouse variability; model fine-tuning using VLA and RL models that generalize across object types and orientations; and continuous deployment with real-time feedback loops, as Robotics and Automation News described. The result, according to both companies, is that non-expert operators can teach robots new tasks through simple demonstrations, completing the full pipeline from training to live operation in minutes rather than months.
What the Companies Say
“By integrating AI-powered robotics directly into our live warehouse operations, we are proving that Physical AI is no longer a concept—it’s delivering real value today,” said Tim Kuebler, Head of Warehouse & Shipping at SAP, per the press release.
Simone Di Somma, Co-Founder and CEO of Cyberwave, offered two complementary framings. On the product side: “Robots no longer need to be painstakingly programmed for every object or scenario—they learn, adapt, and keep improving,” according to RoboticsTomorrow. On the partnership: “Partnering with SAP on a live warehouse deployment is a defining moment—not just for Cyberwave, but for what AI-powered robotics can actually deliver in enterprise logistics today,” per the press release.
About Cyberwave
Cyberwave is a Milan-based startup that raised €7 million in a funding round led by United Ventures in October 2025, with participation from The TechShop, Vento (Exor), Pi Campus, and several angel investors, as Robotics and Automation News reported at the time. The company’s digital twins platform launched the same month. Its co-founder Di Somma previously founded Askdata, which was acquired by SAP — a background that helps explain how the two organizations came to collaborate on a live deployment, according to the same report. Co-founder Vittorio Banfi previously exited from Botsociety.
The company’s stated goal is to abstract the complexity of physical hardware so that machines can be controlled the way software is written. “Our goal is to bring the speed of digital software to the physical world. We want developers to treat machines the way they treat code,” Di Somma said at the time of the fundraise, per Tech.eu.
Why It Matters
The deployment sits at the intersection of two trends pulling in the same direction: the growing gap between labor supply and warehouse demand, and the maturation of generalist robot-learning models that can adapt to new tasks without being hand-coded. A McKinsey analysis cited by Cyberwave during its fundraise found that nearly 30 percent of manufacturing tasks remain manual due to integration complexity, while a Bain forecast put the global shortage of manufacturing workers at 8 million by 2030, according to Robotics and Automation News.
What distinguishes this deployment from earlier warehouse robotics announcements is the software integration layer. Rather than deploying robots as standalone systems that require bespoke engineering for each new customer site, SAP’s approach treats the robot as another client on the SAP stack — tasks flow from SAP LGM through the Embodied AI Service to the robot, with the warehouse management system holding the state and the robot supplying the physical execution. If the approach proves reliable at scale, it could reduce the per-site integration cost that has historically made autonomous robotics uneconomical for smaller warehouses.
The deployment delivers measurable throughput improvements and frees human workers from repetitive, physically demanding tasks, according to Robotics and Automation News.
What We Don’t Know
The companies have not disclosed how many robots are currently operating in the warehouse, which hardware vendor supplies the physical robot arms, or what throughput figures have been measured. The announcement does not quantify the cost savings or return on investment compared to manual labor. Whether and when SAP plans to make the SAP Embodied AI Service broadly available to its enterprise customers beyond this internal deployment has not been announced.