The announcement came as Aei Robot prepared to meet Nvidia CEO Jensen Huang later Monday, the final day of his four-day South Korea trip, during which the chip giant has courted Korean firms across memory, robotics and gaming to build out a "physical AI" ecosystem.
The company built a "Motion Factory" system around Nvidia Kimodo, a natural-language model that spins out three-dimensional, full-body motion sequences from plain instructions such as "lift the box and place it on the shelf."
Unlike vision-based capture, which can miss obscured movements, the tool generates comprehensive data from every angle.
To carry that data onto physical robots, Aei Robot adopted Nvidia SOMA Retargeter, a GPU-accelerated library built on the open SOMA framework. Drawing on Nvidia's standard skeleton architecture, the system reads unified robot description format data to adapt swiftly to new platforms, removing a long-standing bottleneck in research and development.
The firm expects the integration to prove especially potent at shipyards and construction sites, where it can safely simulate and collect motion data off-limits in the real world for security reasons.
Aei Robot, a member of the Nvidia Inception program for startups, saw its humanoid ALICE featured in a keynote video at GTC 2026. Its chief technology officer is Hanyang University robotics professor Han Jae-kwon, whose lab has long argued that a humanoid's worth lies in useful labor rather than spectacle.
"If Kimodo is the data factory that mass-produces rich behavioral data, then SOMA Retargeter is the smart connector that lets us inject that data into a robot of any shape instantly," CEO Eom Yoon-seal said, calling mastery of Nvidia's accelerated computing pipeline the firm's core edge in reaching market fastest.
Huang, who has described robotics as the next major growth sector for South Korea, is scheduled to meet AI and robotics startups at a Seoul hotel on Monday evening, capping a visit that included talks with SK, LG, Hyundai and Naver.
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