Rohan Paul@rohanpaul_ai · XGenRobot推出DAS Ego六摄像头仿生可穿戴设备，以270°零畸变视场角与毫秒级头手同步解决传统单目方案的遮挡与深度盲区，实现毫米级轨迹重建与厘米级关节追踪。同步开源的Gen Ego Data数据集涵盖20余环境及200余项技能，通过第一人称视角采集帮助具身AI模型学习物理规律与"感知-动作-结果"因果关系，为真实场景部署提供核心数据支撑。
GenRobot is packaging multimodal robot data collection into wearable hardware.
They just launched a 6-camera bionic wearable to capture embodied AI data， addressing common blind spots in traditional monocular setups， such as occlusion and precise hand-object timing.
That matters because embodied models do not learn from pixels alone. They learn from synchronized structure： head pose， hand motion， scene layout， and action timing living on the same clock.
DAS Ego utilizes six 2MP cameras to achieve a zero-distortion 270° horizontal and 150° vertical FOV. This enables mm-level trajectory reconstruction and ultra-low latency （<1ms） head-hand coordination.
What GenRobot is building is a cleaner way to record natural human interactions.
To prove it， they open-sourced "Gen Ego Data，" a first-person， human-centric dataset covering 20+ environments and 200+ skills.