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Rohan Paul· @rohanpaul_ai · X·· 2026-07-10AI 评分58
AI 导读

1X 为 NEO 人形机器人推出新型手部,采用低减速比肌腱驱动,电机置于前臂,通过腕部拉动肌腱,使手指更轻、冲击能量更低且抓握力强。手部拥有 22 个主动手指和手掌轴及 3 个腕轴,配备真正的对生拇指。闭环本体感觉无需摄像头即可提供姿态和受力数据;触觉皮肤可感知接触、压力和剪切力,滑动时触发快速修正。IP68 防护和食品级材料支持近水作业。手指组件已通过数百万次循环验证,已生产数百只,计划年产 10,000 只。每次抓取可返回力、姿态、接触和滑动信号,用于机器人学习。

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Such brilliant piece of engineering work.

The new humanoid hand for NEO from 1X.

Most robot hands fail because they move, but they do not properly feel contact.

- 1X’s answer uses low-ratio tendon drives, so outside forces travel back through each joint. The motors sit in the forearm, pulling tendons through the wrist like biological muscle.

This keeps the fingers light, lowers impact energy, and still allows strong gripping.

- The hand has 22 actuated finger and palm axes, plus 3 wrist axes. Those joints are not spread evenly, because the thumb carries much of human dexterity.

- A real opposing thumb is so needed, because grasping is mostly about control, not squeezing.

- Closed-loop proprioception gives NEO pose and effort data without using cameras.

- Tactile skin adds contact, pressure, and shear, so slipping objects can trigger fast corrections.

- IP68 sealing and food-safe materials mean the same hand can work near water.

- Backdrivable fingers also make impacts less dangerous, because the mechanism yields under force.

- 1X says full finger assemblies have survived millions of cycles during validation.

- Hundreds are already built, with capacity planned for 10,000 hands this year.

- The interesting part is the data loop. Every grasp can now return force, pose, contact, and slip signals for robot learning.

That makes NEO more like a measuring instrument.

引用Bernt Bornich@BerntBornich
Introducing NEO’s 25 Degrees of Freedom, tendon-driven hands — nearing or surpassing human-level dexterity, strength, speed, and reliability. For seventy years, robotics worked around the hand problem. The humanoid bet is the reverse: it lives or dies at the fingertips.
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来源:Rohan Paul · x.com