Embodied Robotics Research

Tag: representation-learning

11 items with this tag.

Oct 06, 2026
MIM-VLA: Learning Physical Interaction Representations from Gripper Motor Feedback
Oct 06, 2026
ViDAL: A Visual Dynamics-Grounded Action Latent Space for Vision-Language-Action Models
Sep 29, 2026
Where Predictive Supervision Goes Shapes What VLA Policies Learn
Sep 15, 2026
ActionPiece: Rethinking Action Tokenization for Autoregressive Vision-Language-Action Models
Sep 15, 2026
Modality-Autoregressive World-Action Models (ModAR)
Sep 03, 2026
Toward Unified Robot Learning: Bridging Representation, Vision-Language-Action, and World Models
Aug 27, 2026
Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models (VLAct)
Jul 30, 2026
Cross-Embodiment Transfer via Behavior-Aligned Representations
Jul 02, 2026
VLAFlow: A Unified Training Framework for Vision-Language-Action Models via Co-training and Future Latent Alignment
Jun 24, 2026
Supervise What Survives: Geometry-Guided VLA Adaptation from Synthetic Robot Videos
Jun 11, 2026
RepWAM: World Action Modeling with Representation Visual-Action Tokenizers

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