Silicon Valley’s Figure 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.
To accelerate humanoid development on a global scale, NVIDIA today announced it is providing the world’s leading robot manufacturers, AI model developers and software makers with a suite of services, models and computing platforms to develop, train and build the next generation of humanoid robotics.
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.
Among the offerings are new NVIDIA NIM™ microservices and frameworks for robot simulation and learning, the NVIDIA OSMO orchestration service for running multi-stage robotics workloads, and an AI- and simulation-enabled teleoperation workflow that allows developers to train robots using small amounts of human demonstration data
NVIDIA unveiled a suite of services, models, and computing platforms designed to accelerate the development of humanoid robots globally. Key highlights include: - NVIDIA NIM™ Microservices: These containers, powered by NVIDIA inference software, streamline simulation workflows and reduce deployment times.
“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.”
>>>>>3550mAh/13.67WH Umidigi Z2_Pro Batterie Téléphone pour UMI Umidigi Z2 Pro
>>>>>3000mAh ECOO E04 Batterie Téléphone pour ECOO E04 Bluboo X6
>>>>>345mAh Panasonic CR2050B Batterie Neuve Compatible pour Panasonic CR2050B
Add comment
Comments