The Figure 02 Is an NVIDIA RTX GPU-Powered Robot Designed to Address Labor Shortages

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Image: NVIDIA

The Figure 02, a conversational humanoid robot that is already currently being tested for data collection and use-case training at certain companies, including premium automaker BMW, is powered by NVIDIA RTX technology, capable of tapping into NVIDIA Omniverse and NVIDIA GPUs for what’s been described as fully autonomous tasks, NVIDIA has revealed. Figure, the company behind the robot, aims to commercialize industrial humanoid robots to address labor shortages, and it plans to produce consumer versions, NVIDIA said.

NVIDIA writes:

  • “Figure 02 comes just 10 months after Figure launched the first version of its general-purpose humanoid robot.”
  • “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.”
  • “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.”
  • “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.”

A look at the robot:

Some quotes from leadership:

“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.

“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.”

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Tsing Mui
News poster at The FPS Review.

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