Samsung and Symbotic Drive Fresh Robotics Expansion

At a glance: – Robotics and AI-powered automation news published on October 16, 2026 points to a market moving from pilot projects toward industrial deployment. Samsung SDS is expanding verification of physical-AI systems for factory environments, while Symbotic is broadening its warehouse-automation portfolio through the acquisition of Germany’s cellumation. Teradyne has also made a strategic investment in Bright Machines, linking robotics, automated testing and software-controlled production for AI infrastructure. Separately, ResearchAndMarkets.com reported a forecast that the AI robotics in warehousing market could grow from $12.57 billion in 2025 to $102.67 billion by 2035, with robotics-as-a-service, labor shortages and e-commerce cited as adoption drivers. Taken together, the developments show a convergence of intelligent machines, factory software and supply-chain infrastructure. The commercial priority is shifting toward systems that can integrate perception, software control, testing and material handling at scale.

Technology advance: – Samsung SDS is advancing what it describes as “physical AI” for Samsung factory environments and is conducting robot-technology verification in the United States. The initiative is associated with RX ART 2026 and involves testing systems from global physical-AI companies before broader industrial deployment. The significance lies in connecting artificial intelligence with machines that perceive surroundings, make operational decisions and execute physical tasks rather than limiting AI to office or cloud software. Factory verification can expose challenges involving safety, latency, interoperability and repeatability that are difficult to assess through demonstrations alone. For manufacturers, the effort reflects growing interest in combining edge computing, industrial connectivity and autonomous robotic control. It also indicates that large companies are evaluating physical-AI platforms as production infrastructure, where measurable throughput, reliability and integration with existing factory systems matter as much as model capability.

Partnerships: – Teradyne and Bright Machines announced a strategic investment intended to explore tighter integration among robotics, automated testing and manufacturing software for AI-infrastructure production. Bright Machines develops software-controlled manufacturing environments, while Teradyne supplies automated test equipment and advanced robotics systems. The proposed combination addresses a specific bottleneck in data-center and AI-hardware manufacturing: production lines must support increasingly complex equipment while preserving traceability, quality control and flexibility. Integrating robot actions, test results and production data could give manufacturers a more continuous view of process performance and product quality. The companies’ focus on edge-oriented AI-infrastructure manufacturing also reflects demand for factories that can adapt quickly as accelerator, server and networking designs change. For investors and industrial technology buyers, the announcement signals that robotics vendors are pursuing value beyond motion control by embedding automation within a broader, software-defined production stack.

Acquisitions/expansions: – Symbotic announced the acquisition of cellumation, a Bremen, Germany-based automation company known for the celluveyor, a patented software-driven sortation technology. The deal expands Symbotic’s warehouse-automation portfolio and strengthens its position in Europe. Celluveyor’s approach uses individually controlled conveyor cells to move and sort items in multiple directions, offering a flexible alternative to some conventional fixed-path material-handling designs. For Symbotic, adding the technology could broaden the range of warehouse flows supported by its AI-enabled supply-chain systems, particularly where parcel routing, sortation density and layout flexibility are important. The transaction also gives the U.S. automation company access to German engineering capabilities and an established European base. Its strategic importance extends beyond the acquired product: warehouse operators increasingly want integrated systems that combine software orchestration, robotics and adaptable conveyance rather than purchasing isolated automation components.

Regulatory/policy: – A separate October 15 report described a request by U.S. Defense Secretary Pete Hegseth for roughly $50 billion in reconciliation funding to expand autonomous and robotic-system production. The proposal was presented at the AUSA Project Agincourt panel and would require congressional action, so it is not an enacted appropriation. Reported funding areas include unmanned-system procurement, counter-autonomous capabilities, contested logistics and collaborative autonomy. Although the request is defense-related, its industrial implications reach the wider autonomy ecosystem because large public procurement programs can influence component supply, manufacturing capacity, sensing technology and software development. The proposal also highlights policy questions around scaling autonomous systems, including oversight, testing, cybersecurity, procurement accountability and the role of smaller technology companies alongside established contractors. Because the initiative remains contingent on legislation, its immediate impact is primarily a signal of policy direction and potential demand rather than confirmed revenue.

Finance/business: – ResearchAndMarkets.com reported that the AI robotics in warehousing market reached an estimated $12.57 billion in 2025 and is forecast to reach $102.67 billion by 2035, representing a projected compound annual growth rate of 23.37%. The report attributes expansion to e-commerce volumes, labor gaps, faster fulfillment requirements and robotics-as-a-service models that reduce upfront capital requirements. The commercial model matters because subscription or usage-based deployment can make advanced automation accessible to operators that cannot fund large one-time installations. The forecast also suggests that investors and corporate buyers are evaluating autonomy through operational metrics such as throughput, accuracy, scalability and continuity rather than novelty alone. Market growth will depend on whether vendors can demonstrate reliable perception, safe human-machine interaction, straightforward integration and acceptable returns across different warehouse sizes and workflows.

Sources: ROBO DAILY, Ground News, GlobeNewswire, Primary Ignition