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NVIDIA Isaac‑GR00T N1.5 is an open-source foundation model engineered for generalized humanoid robot reasoning and manipulation skills. It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and finetuning, preserving language understanding and improving generalization. Streamlined MLP connection between vision encoder and LLM with added layer normalization.
Features
- Pretrained on expansive humanoid datasets including real, synthetic, and internet-scale video data
- Dual-system cognitive architecture enabling reflex-like actions (System 1) and deliberate reasoning (System 2)
- Handles cross-embodiment tasks like single/bimanual object manipulation and multi-step context-rich tasks
- Open-source and customizable through post-training workflows
- Supports generalization across robot platforms using a unified model and weights
- Foundation model ecosystem with publicly available training data, blueprints, and task scenarios
Project Samples
License
Apache License V2.0Follow NVIDIA Isaac GR00T
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