🥳WALL-WM made it to the alphaXiv Trending Top 10. Instead of predicting every frame uniformly, it learns to focus on the moments that matter. Project: arXiv: GitHub: HF: @_akhaliq @HuggingPapers…

Congrats to @XSquareRobot on the open release of Wall-OSS-0.5, a VLA model that deploys straight from pretraining with no task-specific finetuning required. 🔥 Full recipe open 🤖 💻 Zero-shot on 17…

ロボット操作は、固定長のアクションチャンクでは無く、「物理イベント」区切りのが自然か？ WALL-WMは、到達→接触→把持→配置のような実世界の変化点を単位に世界モデルとアクション生成をつなぐ試み。 毎回少し違う環境の家庭内等ではこの仕組みが効きそう。 詳細は🧵

🤖 X Square Robot open-sourced Wall-OSS-0.5 — a VLA model that works zero-shot on real robots. 17-task eval, scores 80+ without fine-tuning. Weights, training code, optimizer all public. Open-source…

X Square Robot today officially open-sourced Wall-OSS-0.5 under the motto "Pretrain Once, Act Anywhere." Wall-OSS-0.5 is a Vision-Language-Action model for real-world robotic manipulation. According…

We are open-sourcing Wall-OSS-0.5. Pretrain Once, Act Anywhere. Wall-OSS-0.5 is a VLA model for real-world robotic manipulation, exploring whether pretraining alone can produce robot capabilities…