IRIS
$ 0
Imagination-based agent using a transformer world model for RL; strong sample efficiency in simulated environments
Out of stock
Brain Score
3
Specifications and details:
| Nationality | US |
|---|---|
| Website | https://iris.ai/ |
| Model type | Foundation Model |
| Manufacturer | IRIS AI |
| Release date | 2022 |
Description
IRIS is a foundation model that enables robots to plan actions by imagining outcomes before execution. Instead of relying solely on trial and error, it builds an internal model of how environments respond to different actions. Consequently, robots can evaluate strategies mentally and select more effective behaviors. Moreover, this imagination-driven approach reduces dependence on extensive real-world testing, which accelerates learning and iteration.
2026 Humanoid Robot Market Report
160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.
Featuring insights from
Aaron Saunders, Former CTO of
Boston Dynamics,
now Google DeepMind
2026 Humanoid Robot Market Report
160 pages of exclusive insight from global robotics experts – uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.
In addition, IRIS emphasizes efficiency and structured decision-making. Therefore, it achieves strong performance with fewer interactions compared to traditional methods. Its transformer-based design allows the model to understand sequences of actions and predict their effects over time. Because it trains effectively in simulated environments, developers can refine robot skills quickly and safely. As a result, supports faster progress toward intelligent, adaptable, and general-purpose robotic behavior.
Contact Humanoid.guide
Website: https://iris.ai/
