AR-WAM
AR-WAM is a research system for robotic manipulation that connects a high-level agent to a compact world action model.
Robotics
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Showing 1-11 of 11 articles
AW-0
AW-0 is a robotic learning framework introduced in the October 2026 research paper Agentic World Action Models.
Dream-1
Dream-1 is a robot-control model developed by Dream Labs. Its interface accepts camera images, the robot's current state, and a task, then returns actions for the robot to execute.
Jeff Hawke
Jeff Hawke (published as Jeffrey Hawke) is a New Zealand robotics and machine learning engineer who is the co-founder and chief technology officer of Odyssey
Lumo-2
Lumo-2 is a 4B-scale robot-learning model developed by Astribot. Astribot describes it as a latent world-action model: instead of rendering a future video before acting, it predicts an action-relevant…
Mimic Robotics
Mimic Robotics is a Swiss robotics company that develops dexterous robot hands, human demonstration equipment, control software, and learned manipulation policies for industrial work.
NVIDIA Cosmos
NVIDIA Cosmos is a world foundation model platform developed by NVIDIA for physical AI applications, including autonomous vehicles and robotics.
NVIDIA Cosmos Framework
NVIDIA Cosmos Framework is NVIDIA's Python software for training, adapting, evaluating and serving world models.
Odyssey-3
Odyssey-3 is a foundation world model announced on September 15, 2026 by Odyssey, an AI lab founded in 2023 by Oliver Cameron and Jeff Hawke.
V-JEPA 2
V-JEPA 2 (Video Joint Embedding Predictive Architecture 2) is an open-source video world model released by Meta AI on June 11, 2025 that learns to understand, predict, and plan in the physical world by…
World action model
A world action model (WAM) is a robot policy design that builds action generation on a video world model backbone rather than on a vision-language model, so that a single network jointly predicts how a scene…