ProWorld: Multi-View World Model with Proprioceptive Feedback for Closed-Loop Policy Evaluation
cs.RO
Submitted: 2026-10-11
Updated: 2026-10-11
Project page: https://zijunwa.github.io/proworld/Abstract
Terminology
Sources
- AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
- Scalable Behavior Cloning with Open Data, Training, and Evaluation
- Motus: A Unified Latent Action World Model
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- GigaWorld-1: A Roadmap to Build World Models for Robot Policy Evaluation
- Ctrl-World: A Controllable Generative World Model for Robot Manipulation
- DreamGen: Unlocking Generalization in Robot Learning through Video World Models
- RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation
- Galaxea Open-World Dataset and G0 Dual-System VLA Model
- What Are We Actually Benchmarking in Robot Manipulation?
- Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model
- Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
- TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models
- World Simulation with Video Foundation Models for Physical AI
- Cosmos 3: Omnimodal World Models for Physical AI
- GE-Sim 2.0: A Roadmap Towards Comprehensive Closed-loop Video World Simulators for Robotic Manipulation
- WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
- WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform
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