WB-WAM: Heterogeneous Body-Hand Pre-training for Humanoid Loco-Manipulation
cs.RO
Submitted: 2026-09-28
Updated: 2026-10-02
Project page: https://bitrobot-foundation.github.io/humanoids-in-the-wild-500-hours
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- OMG: Omni-Modal Motion Generation for Generalist Humanoid Control
- Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\Psi_0$: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-Manipulation
- $\omega$-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation
- OpenHLM: An Empirical Recipe for Whole-Body Humanoid Loco-Manipulation
- EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration
- Cosmos World Foundation Model Platform for Physical AI
- Wan: Open and Advanced Large-Scale Video Generative Models
- Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
- mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
- WorldVLA: Towards Autoregressive Action World Model
- Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
- Causal World Modeling for Robot Control
- World Action Models are Zero-shot Policies
- DiT4DiT: Jointly Modeling Video Dynamics and Actions for Generalizable Robot Control
- $\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation
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