BMW Group — Figure 02 body-shop pilot, Plant Spartanburg (South Carolina)
USA · Figure AI Figure 02 · positioning sheet-metal parts for welding · ten-month pilot in 2025
BMW Group正在运营、曾经运营或试用过的机器人——来自部署记录及其自身信息。
USA · Figure AI Figure 02 · positioning sheet-metal parts for welding · ten-month pilot in 2025
部署记录在此展示前均已与公开来源核对。T2 = 运营方报告或独立观察;T3 = 厂商声称。
BMW Group is a German carmaker. In 2025 it piloted Figure AI's Figure 02 humanoid robot in the body shop of its Spartanburg plant in the United States.
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BMW Group will deploy the Figure 03 humanoid robot at its Spartanburg, South Carolina plant for a logistics sequencing task, following an eleven month pilot of the earlier Figure 02 in the body shop. The decision moves humanoid robots from a single proven task into broader assembly and logistics work, and it signals that automotive manufacturers are ready to scale physical artificial intelligence on the floor.

BMW is expanding its physical AI strategy with Figure 03 in Spartanburg while Leipzig tests Hexagon's wheeled AEON humanoid, showing the automaker's multi-robot approach to factory automation.
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Embotech and BMW have automated 1 million in-plant vehicle movements across four factories using infrastructure-mounted lidar rather than onboard self-driving hardware, a certified Level 4 approach now headed to BMW's Spartanburg plant.

Official-source case evidence from automotive manufacturing, consumer electronics and contract logistics shows where humanoid deployment is becoming operationally testable: bounded tasks, stable interfaces, and measurable pilot gates.

The upcoming week in the Automation, Robotics, and Physical Intelligence (ARPI) sector is defined by two major technological shifts moving from the lab to the factory floor. First, NVIDIA's announcement of Halos for Robotics introduces the industry's first full-stack safety architecture, addressing the critical bottleneck of safe human-robot collaboration. Second, BMW's deployment of the Figure 03 humanoid robot at its Spartanburg plant marks a transition from simple part-loading to complex logistics sequencing, demonstrating the maturation of Vision-Language-Action (VLA) models in real-world industrial environments.
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