Mar 19, 2024 · We introduce Vid2Robot, an end-to-end video-conditioned policy that takes human videos demonstrating manipulation tasks as input and produces robot actions.

Vid2Robot is an end-to-end video-conditioned robot policy using Cross attention.

We introduce Vid2Robot, a novel end-to-end video-based learning framework for robots. Given a video demonstration of a manipulation task and current visual ...

Mar 21, 2024 · We introduce Vid2Robot, a novel end-to-end video-based learning framework for robots. Given a video demonstration of a manipulation task and current visual ...

Vid2Robot uses cross-attention transformer layers between video features and the current robot state to produce the actions and perform the same task as shown ...

Mar 19, 2024 · Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers ... Vid2Robot directly produces robot actions.

Duration: 18:02
Posted: Mar 19, 2024

Mar 19, 2024 · Features a multi-component model architecture with Cross-Attention mechanisms for accurate action prediction. Demonstrates improved performance ...

Aug 28, 2024 · Vid2Robot uses cross-attention transformer layers to align the representations of human and robot actions. The model is trained on a large ...

Mar 19, 2024 · Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. By Vidhi Jain and others at. Logo Carnegie Mellon ...