# Isaac

NVIDIA Isaac is an open robotics development platform comprising simulation and robot-learning frameworks, CUDA-accelerated libraries, AI models, and reference workflows for creating autonomous robots.

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## Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm

DevFeed: [Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm](<https://devfeed.tech/articles/post-training-isaac-gr00t-n1-5-for-lerobot-so-101-arm-7381.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia/gr00t-n1-5-so101-tuning>)

Author: You Liang Tan; Fengyuan Hu; Oyindamola Omotuyi; Oluwaseun Doherty; Chitoku Yato; Shane Reetz

Published: 2025-06-11T18:27:22Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Isaac](<https://devfeed.tech/topics/isaac.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [lerobot](<https://devfeed.tech/topics/lerobot.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Python](<https://devfeed.tech/topics/python.md>), [Terminal](<https://devfeed.tech/topics/terminal.md>)

Tags: [data](<https://devfeed.tech/tags/data.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [lerobot](<https://devfeed.tech/tags/lerobot.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [python](<https://devfeed.tech/tags/python.md>), [robots](<https://devfeed.tech/tags/robots.md>), [training](<https://devfeed.tech/tags/training.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

This tutorial demonstrates how to post-train, or fine-tune, NVIDIA Isaac GR00T N1.5 for a LeRobot SO-101 robot arm using teleoperation data. It covers dataset preparation, GR00T compatibility, installation prerequisites, and running the fine-tuning workflow, with a default requirement of approximately 25 GB of VRAM.

### Source excerpt

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.

## NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets

DevFeed: [NVIDIA's GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets](<https://devfeed.tech/articles/nvidia-s-gtc-2025-announcement-for-physical-ai-developers-new-open-models-and-datasets-7370.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia-physical-ai>)

Author: Ming-Yu Liu; Hanzi Mao; Jinwei Gu; Pranjali Joshi; Asawaree

Published: 2025-03-18T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Cosmos](<https://devfeed.tech/topics/cosmos.md>), [Physical AI](<https://devfeed.tech/topics/physical-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Robotics](<https://devfeed.tech/topics/robotics.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [autonomous vehicles](<https://devfeed.tech/topics/autonomous-vehicles.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Isaac](<https://devfeed.tech/topics/isaac.md>), [Omniverse](<https://devfeed.tech/topics/omniverse.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [autonomous-vehicles](<https://devfeed.tech/tags/autonomous-vehicles.md>), [community](<https://devfeed.tech/tags/community.md>), [cosmos](<https://devfeed.tech/tags/cosmos.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [omniverse](<https://devfeed.tech/tags/omniverse.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [physical-ai](<https://devfeed.tech/tags/physical-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>)

### AI overview

NVIDIA announces Cosmos Transfer, an open world foundation model that generates controllable, photorealistic video scenes from structured inputs such as depth maps, trajectories, LiDAR scans, and 3D bounding boxes. Together with NVIDIA Omniverse, it supports synthetic data generation for robotics and autonomous vehicle development. NVIDIA also introduces an open Physical AI Dataset on Hugging Face and the Isaac GR00T N1 foundation model for humanoid robot reasoning.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Celebrating Cerebration: ON CREATIVITY - by Isaac Asimov

DevFeed: [Celebrating Cerebration: ON CREATIVITY - by Isaac Asimov](<https://devfeed.tech/articles/celebrating-cerebration-on-creativity-by-isaac-asimov-36256.md>)

Original publisher: [Read original article](<https://berthub.eu/articles/posts/asimov-on-creativity/>)

Published: 2023-03-13T08:13:10Z

Content type: opinion

Language: en

Sources: [Bert Hubert's writings](<https://devfeed.tech/sources/bert-hubert-s-writings.md>)

Topics: [Isaac](<https://devfeed.tech/topics/isaac.md>), [context](<https://devfeed.tech/topics/context.md>)

Tags: [article](<https://devfeed.tech/tags/article.md>), [essay](<https://devfeed.tech/tags/essay.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [isaac](<https://devfeed.tech/tags/isaac.md>), [pdf](<https://devfeed.tech/tags/pdf.md>), [science](<https://devfeed.tech/tags/science.md>)

### AI overview

This article preserves and contextualizes Isaac Asimov's 1959 essay on cerebration and the difficulty of generating genuinely new ideas. It discusses the essay's historical context, changing social norms, and the possible continuing value of Asimov's techniques for encouraging innovation.

### Source excerpt

"The history of human thought would make it seem that there is difficulty in thinking of an idea even when all the facts are on the table" - Isaac Asimov In 2014, MIT's Technology Review wrote a very interesting article about an attempt to have Isaac Asimov be part of a group of scientists attempting to think outside of the box. In this article they included a 1959 essay that Asimov wrote instead of continuing to taking part in this (classified) government work.