Zero-WAM: Robots Learn New Tasks from Human Videos Without Fine-tuning

Researchers from HKUST(GZ) and others introduced Zero-WAM, which uses human demonstration videos as in-context prompts in a causal video-action model, enabling robots to perform unseen tasks without task-specific fine-tuning.

2026-08-28 ~ 2026-08-28 · 2 related posts

• Zero-WAM: In-Context World-Action Modeling for Robotic Task Generalization — Robbyant-Research · 2026-08-28
• Zero-WAM: robots learn unseen tasks from a single human demo video, no fine-tuning — deepakpathak · 2026-08-28