Opening article
NVIDIA has released Isaac GR00T N1.5, a major update to its open foundation model for generalized humanoid robot reasoning. The model can be post‑trained for specific embodiments, such as the LeRobot SO‑101 arm, using teleoperation data. A detailed tutorial and scripts are provided to fine‑tune and evaluate the model on new tasks.
NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research and development platform for building robot foundation models and data pipelines, designed to accelerate the creation of intelligent, adaptable robots.
Today, we announced the availability of Isaac GR00T N1.5 , the first major update to Isaac GR00T N1, the world’s first open foundation model for generalized humanoid robot reasoning and skills. This cross-embodiment model processes multimodal inputs, including language and images, to perform manipulation tasks across diverse environments. It is adaptable through post-training for specific embodiments, tasks, and environments.
In this blog, we’ll demonstrate how to post-train (fine-tune) GR00T N1.5 using teleoperation data from a single SO-101 robot arm.
After successfully fine-tuning and evaluating your policy, the final step is to deploy it onto your physical robot for real-world execution.
Now accessible to developers working with a wide range of robot form factors, GR00T N1.5 can be easily fine-tuned and adapted using the affordable, open-source LeRobot SO-101 arm.
This flexibility is enabled by the EmbodimentTag system, which allows seamless customization of the model for different robotic platforms, empowering hobbyists, researchers, and engineers to tailor advanced humanoid reasoning and manipulation capabilities to their own hardware.
Before proceeding to installation, please check if you satisfy the prerequisites .
The update lowers the barrier to adapting advanced robot reasoning to diverse hardware, enabling broader experimentation and faster deployment in the AI robotics field.