VPTwin: Real-Sim-Real Video Prediction for Robotic Manipulation Planning
cs.RO, cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- Cosmos 3: Omnimodal World Models for Physical AI
- URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- Evaluating Gemini Robotics Policies in a Veo World Simulator
- SoMA: A Real-to-Sim Neural Simulator for Robotic Soft-body Manipulation
- Unified Video Action Model
- RealWonder: Real-Time Physical Action-Conditioned Video Generation
- Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins
- Learning Physics-Guided Residual Dynamics for Deformable Object Simulation
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Towards Accurate Generative Models of Video: A New Metric & Challenges
- Interactive World Simulator for Robot Policy Training and Evaluation
- AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis
- RoboSnap: One-Shot Real-to-Sim Scene Generation for Generalizable Robot Learning and Evaluation
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
- Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
- robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
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