Eka Robotics built a robotic arm with a force-sensitive gripper. It uses a vision-force-action model instead of vision-language-action. The arm picks up 1,500 objects per hour with over 95% success. It adapts to many objects without retraining. Experts note its human-like persistence and smooth motion. Eka raised $150M at a $1.45B valuation. Investors include a16z and F-Prime. The model was trained in a physics simulator. Eka targets pick-and-place and wire manipulation first. The gripper costs under $1,000 and is rated for 5M duty cycles.
What changed
Robotic arms struggled to pick up varied objects reliably and smoothly.
What it unlocks
Picking up a wide range of objects quickly and without breaking them.
- $1.45B valuation
- $150M Series A round
- 1,500 objects per hour
- 95% pick success rate
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