Humanoid robotics startup Figure AI reveals new robot using Nvidia Isaac Sim for synthetic data and generative AI models trained on Nvidia accelerated computing for real-time inference
Silicon Valley’s Figure AI has taken the wraps off of its next-generation Figure 02 conversational humanoid robot that taps into Nvidia Omniverse and Nvidia GPUs for fully autonomous tasks.
Figure said it recently tested Figure 02 for data collection and use-case training at BMW Group’s Spartanburg, South Carolina, production line.
Figure 02 comes just 10 months after Figure launched the first version of its general-purpose humanoid robot. The company has accelerated its development timeline using Nvidia Isaac Sim – a reference application built on the Nvidia Omniverse platform – to design, train and test AI-based robots using synthetic data, as well as Nvidia GPUs to train generative AI models.
“Our rapid progress, marked by advances in speech, vision, dexterity and computational power, brings us closer to delivering humanoid robots to address labor shortages for many industries,” said Brett Adcock, CEO of Figure.
The company added a second Nvidia RTX GPU-based module on board Figure 02, which supplies 3x inference gains for handling fully autonomous real-world AI tasks compared with the robot’s first iteration.
Figure aims to commercialize industrial humanoid robots to address labor shortages, and it plans to produce consumer versions.
Founded in 2022, the startup is partnered with OpenAI to develop custom AI models, trained on Nvidia H100 GPUs, that drive the robots’ conversational AI capabilities. Figure recently raised $675 million in funding from leading technology companies including Nvidia.
“Developing autonomous humanoid robots requires the fusion of three computers: Nvidia DGX for AI training, Nvidia Omniverse for simulation and Nvidia Jetson in the robot,” said Deepu Talla, vice president of robotics and edge computing at Nvidia. “Leading companies, including Figure, are tapping into the Nvidia robotics stack, from edge to cloud, to drive innovation in humanoid robotics.”
Robotic hands capable of handling real-world tasks
New human-scale hands, six RGB cameras, and perception AI models trained with synthetic data generated in Isaac Sim enable Figure 02 to perform high-precision pick-and-place tasks required for smart manufacturing applications.
Figure is among the initial members to join the new Nvidia Humanoid Robot Developer Program, which provides early access to the latest tools and computing technologies for humanoid robot development.
This includes the latest releases of Nvidia Isaac Sim, Isaac Lab, NIM microservices (RoboCasa and MimicGen), OSMO, Jetson Thor and Project GR00T general-purpose humanoid foundation models.