Papers With Code
metadata only
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models
PhysBrain 1.5 unifies physical environment understanding, action generation, and future state prediction via joint autoregressive training on discrete vision-language, motion, and visual target sequences, achieving state-of-the-art open-source embodied performance.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- StrucPhysVideo: Learning Physical Dynamics from Structured Captions and Robot Actions#1012616
- A Sim-to-Real Integration Pipeline for Training and Deployment of Chunk-Based VLA Manipulation Policies#1036206
- PanOVOcc: Panoramic Embodied Open-Vocabulary Occupancy Mapping with Long-term Spatial Voxel Memory#1115672
- PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos#1142978
- VPTwin: Real-Sim-Real Video Prediction for Robotic Manipulation Planning#1117816
Record · ID 928000
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive