ResearchResearch paperRobotics & Embodied AI · Multimodal Models · Reasoning & Planning2 sources · Oct 21, 2026

Agentic World Action Models

We introduce AW-0, an agentic world action model framework that integrates code-based planning with joint video and action prediction.

Recent world action models provide visual foresight and future prediction for robot manipulation, but lack explicit mechanisms for compositional skill reuse.
Agentic robotics combines code-based planning and reasoning with reusable skills, but often lacks predictive grounding in physical dynamics.
We further introduce an automated curation pipeline that labels robot and human video trajectories with aligned programs and consolidates recurring routines into reusable skill libraries.
Evaluations on RoboTwin 2.0 and physical bimanual manipulation tasks show improved task performance over VLA and WAM baselines, alongside gains in language following, semantic reasoning and robustness, demonstrating that agentic code enables connection between planning, prediction and execution within WAMs.

[1]Agentic World Action Models
Hugging Face Daily Papers · Oct 21, 12:00 AM
We introduce AW-0, an agentic world action model framework that integrates code-based planning with joint video and action prediction.
Recent world action models provide visual foresight and future prediction for robot manipulation, but lack explicit mechanisms for compositional skill reuse.
[2]Agentic World Action Models
arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 21, 05:59 PM

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