Figure Launches Advanced Humanoid Robot Leveraging NVIDIA AI for Autonomous Tasks
The post Figure Launches Advanced Humanoid Robot Leveraging NVIDIA AI for Autonomous Tasks appeared on BitcoinEthereumNews.com.
Ted Hisokawa Aug 08, 2024 13:53 Figure has unveiled its next-gen Figure 02 humanoid robot, utilizing NVIDIA Omniverse and GPUs for enhanced AI capabilities and autonomous operations. Silicon Valley-based Figure has unveiled its next-generation Figure 02 humanoid robot, which leverages NVIDIA Omniverse and NVIDIA GPUs to perform fully autonomous tasks. According to the NVIDIA Blog, the Figure 02 model has been tested for data collection and use-case training at BMW Group’s Spartanburg production line in South Carolina. Technological Advancements Figure 02 is a significant upgrade from the initial version launched just ten months ago. The new model incorporates a second NVIDIA RTX GPU-based module, delivering three times the inference gains compared to its predecessor. This advancement facilitates handling fully autonomous real-world AI tasks. The company utilized NVIDIA Isaac Sim, a reference application built on the NVIDIA Omniverse platform, to design, train, and test AI-based robots using synthetic data. Industry Applications Figure aims to commercialize industrial humanoid robots to address labor shortages across various sectors. The company also plans to produce consumer versions. Brett Adcock, CEO of Figure, emphasized the rapid progress in speech, vision, dexterity, and computational power, which brings them closer to delivering humanoid robots for multiple industries. Partnerships and Funding Founded in 2022, Figure has partnered with OpenAI to develop custom AI models trained on NVIDIA H100 GPUs. These models enhance the robots’ conversational AI capabilities. The startup recently secured $675 million in funding from leading technology companies, including NVIDIA. Deepu Talla, vice president of robotics and edge computing at NVIDIA, highlighted the importance of the NVIDIA robotics stack, from edge to cloud, in driving innovation in humanoid robotics. “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,” Talla stated. Robotic Hands…
Filed under: News - @ August 10, 2024 5:14 am