模型精选
OM-1 人形机器人通过传感器手套学习搬运上下楼梯
精选理由
OpenMind 的 OM-1 不靠遥操作，靠戴传感器手套的人教它搬东西下楼梯，训练思路挺特别，可以看看视频。
这条推文讨论 OM-1 人形机器人的搬运表现，作者认为亮点在于行走时的抓握稳定性，因为每走一步都会让手中负载产生冲击。OM-1 通过让真人佩戴传感器手套采集手部姿态、触觉和图像数据来学习，不需要遥操作或在机器人身上演示。作者还提出楼梯正成为人形机器人最有用的测试场景之一。
原文 · rohanpaul_ai
imo, the the impressive part here is grip stability during locomotion, since every step down jolts the load in the hands.
also stairs are turning into one of the most useful test benches in humanoid robotics.
Their OM-1 model here learns from people wearing a sensorized glove that records hand pose, touch and images, with no teleoperation or on-robot demonstrations.
https://t.co/o6iLbrsZwi
