BridgeV-2
Emerging4papers using it
2024first seen
BridgeV-2 is a hierarchical embodiment dataset containing 60,000 robot manipulation trajectories that are auto-annotated with grounded task reasoning and spatial guidance, used to evaluate multimodal action models in robotic control.
Papers using BridgeV-2 (4)
- MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint ReconstructionDRAW2ACT: Turning Depth-encoded Trajectories Into Robotic Demonstration VideosImage Generation As A Visual Planner For Robotic ManipulationEmma-X: An Embodied Multimodal Action Model with Grounded Chain of
Thought and Look-ahead Spatial Reasoning