Verne Robotics 发布开源权重世界动作模型 V0.5，可读取摄像头画面并输出下一秒机械臂、夹爪与移动底座的运行动作。该模型基于 Wan2.2 视频生成器、从超 170 万条演示中学习，不到 2 小时演示即可学会新工业任务。在 RoboTwin 2.0 随机杂乱、光照与纹理测试中，V0.5 从 81.0% 降至 73.4%，π0.5 则从 70.7% 降至 46.0%。
Brilliant release by @VerneRobotics
V0.5, an open-weight world action model, that looks through cameras and outputs the next second of arm, gripper and mobile-base motion.
The big deal is that it learned new industrial tasks from under 2 hours of demonstrations.
Robot models usually stumble when a room changes. With clutter and new lighting that neither model trained on, Verne Robotics’ V0.5 lost 7.6 points in simulation, while Physical Intelligence’s π0.5 lost 24.7.
On RoboTwin 2.0, randomized clutter, lighting and textures cut V0.5 from 81.0% to 73.4% in Verne’s tests, while Physical Intelligence’s π0.5 fell from 70.7% to 46.0%.
Built on the Wan2.2 video generator, V0.5 learned from over 1.7M demonstrations to predict upcoming camera frames alongside the motion producing them.
https://x.com/VerneRobotics/status/2118029255804129448/video/1
https://x.com/VerneRobotics/status/2118029256538169657/video/1
Introducing V0.5, Verne’s open-weight world action model for industrial robots. We believe democratizing robotics starts with making frontier foundation models open to everyone. Bringing robots to every industry will take many teams, building on shared progress across many workflows. V0.5 is the leading US-made open-weight model on LIBERO and RoboTwin 2.0 benchmarks. We hope you’ll join us in putting V0.5 to work.在 X 查看被引用的帖子
来源：Rohan Paul · x.com