WholeBodyWAM: Learning Whole-Body World Action Models with Scalable Motion Priors
cs.RO
Submitted: 2026-09-16
Updated: 2026-10-01
Project page: https://zbzyjya.github.io/WholeBodyWAM
Terminology
Sources
- Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation
- Fast-WAM: Do World Action Models Need Test-time Future Imagination?
- $\tau_0$-WM: A Unified Video-Action World Model for Robotic Manipulation
- MotionWAM: Towards Foundation World Action Models for Real-Time Humanoid Loco-Manipulation
- RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
- RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence
- Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
- Towards a Unified Understanding of Robot Manipulation: A Comprehensive Survey
- Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
- Wan: Open and Advanced Large-Scale Video Generative Models
- Causal World Modeling for Robot Control
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