UMR: Universal Manipulation Representation
cs.RO
Submitted: 2026-09-28
Updated: 2026-10-03
Comments: Submitted to IEEE International Conference on Robotics and Automation (ICRA)
Project page: https://umr-wepvla.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- WorldVLA: Towards Autoregressive Action World Model
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
- RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- FastUMI-100K: Advancing Data-driven Robotic Manipulation with a Large-scale UMI-style Dataset
- HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
- PointACT: Vision-Language-Action Models with Multi-Scale Point-Action Interaction
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models
- Universal Pose Pretraining for Generalizable Vision-Language-Action Policies
- Ego4D: Around the World in 3,000 Hours of Egocentric Video
- Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
- EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
- EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
- Human Universal Grasping
- EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
- Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
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