UNITAS: A 3D-Native World Action Model for Embodied Manipulation
We introduce UNITAS, to our knowledge the first 3D-native world action model that unifies observations, actions, and scene dynamics in a shared metric 3D frame within each interaction, using a common representation across robot embodiments and human hands.
ProofPaper ↗
Key points
- World action models (WAMs) aim to answer a coupled physical question: given a task instruction, what motion should the robot execute, and how will that motion change the surrounding world?
- Action flow represents human hands and robot grippers as 3D point trajectories, while scene flow describes scene-point displacements conditioned on these trajectories.
- World-aligned 3D positional embeddings ground visual tokens with or without depth input, and a physical-time trajectory tokenizer encodes each point trajectory as one token anchored at its current 3D position.
- This interface supports both direct action execution and action-conditioned scene prediction.
Sources (1)
- [1]UNITAS: A 3D-Native World Action Model for Embodied ManipulationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 03:02 PM
We introduce UNITAS, to our knowledge the first 3D-native world action model that unifies observations, actions, and scene dynamics in a shared metric 3D frame within each interaction, using a common representation across robot embodiments and human hands.
World action models (WAMs) aim to answer a coupled physical question: given a task instruction, what motion should the robot execute, and how will that motion change the surrounding world?
Extractive summary: sentences quoted from the sources.