Looking at the first build of the robot we’re deploying to real homes for the upcoming Beta @sundayrobotics, I feel electric with joy
It’s more intuitive, more capable, higher quality, and safer. So much can be accomplished in 6 months
We just hit a weird milestone: our model became more reliable than your average home WiFi.
Just like everybody else, we thought cloud inference was the obvious choice. Yet 2 days into the ACT-2 eval, our mind completely changed.
If our hero @ArpitKalla didn’t cook, this video wouldn’t exist 🧵
The gap between “We have a new policy” and “We know if it works” defines the pace of robotics learning.
Great systems engineering shrinks that gap.
Proud to be building the systems that push the frontier of robotics alongside a world-class team.
This property allows us to hill-climb performance in our office, and trust those gains to hold in unseen homes
Our fleet of Memos runs in parallel to rapidly advance reliability, quality, and speed.
Left: fleet-scale improvement in-house
Right: Memo working across unseen homes
Introducing ACT-2 Preview
The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes.
Zero shot, real unseen homes, 99% success rate.