NVIDIA Unveils Isaac Gr00t Platform for Advanced Humanoid Robotics Research
NVIDIA's Isaac Gr00t platform gives researchers access to frontier humanoid robotics
Image: Engadget
NVIDIA has launched the Isaac Gr00t platform, a humanoid robotics reference design aimed at accelerating research and development. Featuring a nearly 6-foot chassis and advanced tactile hands, it supports institutions like Stanford and ETH Zurich, promoting collaboration in robotics.
- 01The Isaac Gr00t platform combines a Unitree H2 humanoid chassis and Sharpa five-fingered hands, enabling advanced robotic capabilities.
- 02The platform features 31 degrees of freedom in the body and 22 in the hands, enhancing dexterity and movement.
- 03Powered by NVIDIA's Jetson AGX Thor T5000, it includes a Blackwell GPU and offers a power range of 40 to 130 watts.
- 04The platform's battery provides nearly 1 kWh of capacity, allowing for approximately three hours of operational endurance.
- 05Institutions such as Ai2, ETH Zurich, and Stanford Robotics Center will utilize the Isaac Gr00t platform for their research.
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NVIDIA has introduced the Isaac Gr00t platform, a cutting-edge humanoid robotics reference design aimed at enhancing research and development in the field. This platform features a nearly 6-foot tall Unitree H2 humanoid chassis, which weighs 150 pounds and boasts 31 degrees of freedom, allowing for versatile movement. It is equipped with dual Sharpa Wave tactile hands that have 22 degrees of freedom, significantly improving dexterity. The platform is powered by NVIDIA's Jetson AGX Thor T5000, which includes a Blackwell GPU and offers a configurable power range of 40 to 130 watts. The onboard battery provides just under 1 kWh of capacity, supporting approximately three hours of operational time. The Isaac Gr00t platform is designed to foster collaboration among researchers, with institutions like Ai2, ETH Zurich, and the Stanford Robotics Center already set to utilize it. Jensen Huang, NVIDIA's CEO, emphasized the importance of open platforms in advancing robotics research, stating that sharing code and testing ideas on real machines accelerates innovation.
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