LiberAI 发布 Liber-0：戴 131g 数据手套采集人手动作训练机器人
中国团队 LiberAI 搞了个巧招：让工人戴 131g 手套干活就能采集机器人训练数据，1 万小时手套数据居然打赢 200 万小时网络视频。
中国机器人公司 LiberAI 发布 Liber-0，一个控制机械臂和机械手的 AI 模型。工人佩戴 131g 的 LiberSense 数据手套做日常任务，记录手部姿态和运动轨迹，无需机器人参与采集数据。在没有任何机器人演示的情况下，Liber-0 在 60 个新任务的 600 次尝试中完成 36.0%。训练数据上，1 万小时手套数据在对照实验中胜过 200 万小时网络视频，用 25% 的机器人演示加手套数据训练的策略达到 75.6 分，超过用全部演示训练的 72.8 分。
This looks like a truly brilliant launch for robot training.
Workers wear a thin 131 g sensor glove that records exact hand movements while they do ordinary tasks, so no robot is needed to collect the data.
Chinese robotics startup LiberAI (@liberai_robot) released Liber-0, the AI model that controls a robot’s arms and hands.
With no robot demonstrations of the tested tasks, Liber-0 completed 36.0% of 600 attempts at 60 new tasks. In LiberAI’s tests, 10K glove hours also beat 2M hours of internet video.
Robots normally learn a task after people steer them through it repeatedly, and Liber-0 replaces much of that with 2.2M+ hours of human experience.
Video alone shows what hands do, not the measured motion a robot must copy.
The company’s LiberSense Glove supplies that motion by logging hand poses and trajectories while people work.
Measured motion beat volume: 10K glove hours outperformed 2M hours of web video in matched runs.
Trained on 25% of the robot demonstrations plus glove data, a policy scored 75.6 for partial completion, beating 72.8 from all of them.
- Aran Komatsuzaki (论文推介)16:19原文
