模型

Maxinsights 用人手动作数据训练机器人操作

精选理由

一家叫 Maxinsights 的公司靠自研录制设备,在 8 个国家拍人手干活的数据来训练机器人,思路挺有意思。

Maxinsights 记录人在真实环境中完成任务的视频,例如家庭厨房里的操作,并为每段视频标注手部姿态和语言描述。该公司在 8 个国家采集数据,使用自研的录制硬件,覆盖从任务设计到交付视频的完整流程。统一硬件使各地点的录制条件保持一致,环境变化成为模型训练所需的多样性来源。

原文 · rohanpaul_ai

Human hands are becoming one of the most useful training signals in robot manipulation.

Maxinsights records people doing real tasks, like work in a home kitchen, and labels every clip with hand pose and language.

Maxinsights collects in 8 countries using recording hardware they build themselves, inside one pipeline that runs from task design to delivered clips.

Owning the hardware is what makes that spread useful. If the same capture setup goes to every location, the recording conditions stay fixed while the environment changes. Environment is the variation you want a model to see.

https://t.co/utEpTbGC2P