.Ted Hisokawa.Aug 08, 2024 13:53.Body has introduced its next-gen Figure 02 humanoid robotic, taking advantage of NVIDIA Omniverse and GPUs for boosted AI capacities and autonomous operations. Silicon Valley-based Amount has introduced its next-generation Figure 02 humanoid robotic, which leverages NVIDIA Omniverse and also NVIDIA GPUs to perform fully self-governing tasks. According to the NVIDIA Blogging Site, the Figure 02 miniature has been assessed for data assortment as well as use-case training at BMW Group’s Spartanburg assembly-line production in South Carolina.Technical Developments.Body 02 is actually a notable upgrade coming from the initial version launched simply ten months ago.
The brand new design integrates a 2nd NVIDIA RTX GPU-based component, providing 3 opportunities the assumption gains matched up to its own precursor. This advancement promotes managing entirely self-governing real-world AI tasks. The provider made use of NVIDIA Isaac Sim, an endorsement treatment improved the NVIDIA Omniverse platform, to make, learn, as well as test AI-based robotics using synthetic information.Industry Requests.Amount intends to commercialize commercial humanoid robotics to deal with labor scarcities across different fields.
The provider likewise intends to produce individual variations. Brett Adcock, Chief Executive Officer of Figure, highlighted the fast progress in speech, perspective, dexterity, as well as computational power, which carries all of them closer to delivering humanoid robots for various industries.Collaborations and also Backing.Founded in 2022, Figure has partnered with OpenAI to develop custom AI models trained on NVIDIA H100 GPUs. These versions enrich the robotics’ informal AI capacities.
The startup recently secured $675 million in financing from leading innovation providers, including NVIDIA.Deepu Talla, vice head of state of robotics as well as advantage processing at NVIDIA, highlighted the relevance of the NVIDIA robotics pile, coming from upper hand to cloud, in driving innovation in humanoid robotics. “Creating independent humanoid robots calls for the fusion of three computer systems: NVIDIA DGX for artificial intelligence training, NVIDIA Omniverse for simulation, and NVIDIA Jetson in the robot,” Talla specified.Robotic Hands With The Ability Of Dealing With Real-World Tasks.Figure 02 attributes new human-scale hands, six RGB cams, as well as perception AI models educated with synthetic data created in Isaac Sim. These functionalities enable the robot to conduct high-precision pick-and-place tasks needed for wise manufacturing applications.Shape is among the preliminary participants to sign up with the new NVIDIA Humanoid Robot Developer System, which offers very early access to the current resources and computing innovations for humanoid robot growth.
This consists of the most up to date launches of NVIDIA Isaac Sim, Isaac Lab, NIM microservices (RoboCasa and MimicGen), OSMO, Jetson Thor, and Task GR00T general-purpose humanoid base models.Image resource: Shutterstock.