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Models
Foundation, generative, multimodal and specialised models.
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2026
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Mar 16, 2026
NVIDIA Isaac GR00T N2 (preview)
NVIDIA previewed Isaac GR00T N2, a next-generation robot foundation model built on a world action model architecture that the company says more than doubles success on new tasks compared with leading VLA models.
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Mar 16, 2026
NVIDIA Isaac GR00T N1.7
An open reasoning vision-language-action model from NVIDIA for humanoid robots, announced in March 2026 as commercially usable and trained on large public robot manipulation datasets.
2025
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Dec 11, 2025
Runway GWM-1
GWM-1 is Runway's first general world model: an autoregressive system that generates 720p video frame by frame in real time and can be steered with camera pose, robot commands or audio.
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Aug 5, 2025
Genie 3
Genie 3 is Google DeepMind's general-purpose world model, announced on 5 August 2025. It turns text prompts into interactive 720p environments that can be navigated in real time at 24 frames per second, and was released as a limited research preview.
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Jul 26, 2025
HunyuanWorld 1.0
HunyuanWorld 1.0 is Tencent's open-source model for generating explorable, mesh-exportable 3D worlds from text or images. Released in July 2025, it was followed by a series of lighter and faster versions.
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Jul 2025
Skild Brain
Skild Brain is Skild AI's general-purpose foundation model for robots, trained in a universe of 100,000 different machines and meant to be fitted to existing hardware rather than built for one task.
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May 21, 2025
Aurora
Aurora is a foundation model for the Earth system, trained on more than a million hours of geophysical data. It outperforms operational forecasts for weather, air quality, ocean waves and tropical cyclone tracks at far lower computational cost.
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Mar 18, 2025
NVIDIA Isaac GR00T N1
Isaac GR00T N1 is an open foundation model for humanoid robots that NVIDIA announced on 18 March 2025. It is designed to be post-trained for a specific robot or task, and it pairs a planning model with quick motion control.
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Mar 12, 2025
Gemini Robotics
Gemini Robotics is a vision-language-action model from Google DeepMind, built on Gemini 2.0, that outputs physical actions to control robots. It was announced on 12 March 2025 alongside Gemini Robotics-ER.
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Mar 10, 2025
AgiBot GO-1 (Genie Operator-1)
A general-purpose embodied foundation model released by AgiBot on 10 March 2025, built on a Vision-Language-Latent-Action architecture. In the company's tests across five tasks it raised average success rate from 46% to 78%.
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Feb 20, 2025
Figure Helix
Helix is Figure's vision-language-action model for humanoid control, pairing a 7-billion-parameter vision-language model with a fast 80-million-parameter action policy, trained on about 500 hours of teleoperated data and run entirely on onboard GPUs.
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Jan 6, 2025
NVIDIA Cosmos world foundation models
NVIDIA Cosmos is a platform of world foundation models that generate physics-based video to train robots and autonomous vehicles, released as open-weight models in January 2025.
2024
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Dec 4, 2024
Genie 2
Genie 2 is a foundation world model from Google DeepMind, announced on 4 December 2024, that turns a single prompt image into a playable 3D environment that a person or an AI agent can explore with keyboard and mouse controls.
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May 2024
Octo
Octo is an open-source generalist robot policy: a transformer-based diffusion model trained on 800,000 robot trajectories that can drive a range of robots out of the box and be fine-tuned to new setups.
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Mar 18, 2024
Project GR00T
NVIDIA's project for a general-purpose foundation model for humanoid robots, announced in March 2024 and followed in March 2025 by Isaac GR00T N1, an open, customizable model released with training data and evaluation scenarios.
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Feb 23, 2024
Genie
A Google DeepMind generative world model with 11 billion parameters that turns text, images or sketches into controllable virtual worlds, described as the first generative interactive environment trained on unlabelled internet videos without action labels.
2023
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Nov 14, 2023
GraphCast
GraphCast is a Google DeepMind machine-learning model that makes global weather forecasts up to 10 days ahead, producing a 10-day forecast in under a minute on a single TPU and outperforming ECMWF's HRES on most tested variables.
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Jul 5, 2023
Pangu-Weather
Pangu-Weather is a three-dimensional deep-learning model for medium-range global weather forecasting, published in Nature in 2023; on reanalysis data it produced stronger forecasts than ECMWF's operational system across all tested variables.
2019
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Nov 19, 2019
MuZero
MuZero is a DeepMind reinforcement-learning algorithm that pairs tree-based search with a learned model. It reached superhuman play in Atari, Go, chess and shogi without being given the environment's rules.
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Jan 2019
AlphaStar
AlphaStar is a DeepMind system that plays StarCraft II. In 2019 it reached Grandmaster level with all three races, ranking above 99.8% of active players on Battle.net.
2018
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Jun 2018
OpenAI Five
OpenAI Five was a team of five reinforcement-learning bots that played the video game Dota 2; in April 2019 it beat OG, the reigning world champions, in a best-of-three series.
2013
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Dec 19, 2013
Deep Q-Network (DQN)
A DeepMind reinforcement-learning agent that combined Q-learning with a convolutional neural network to play Atari 2600 games straight from raw pixels, reaching human-level performance on many titles without being told the rules.