EO StudioUtopia or Dystopia? Humanoid Robot NEO Has Arrived at Our Home | 1X, Bernt Børnich
At a glance
WHAT IT’S REALLY ABOUT
Building Humanoid Home Robots: Safety, Learning, Manufacturing, and Founder Culture
- 1X’s mission is to create “abundance of labor” by putting safe, useful humanoid robots into everyday homes so people can spend more time on what makes them human.
- Børnich argues traditional high-gear industrial robotics doesn’t translate to homes because it assumes a controlled environment, whereas home robots must tolerate constant collisions, uncertainty, and social contexts.
- The company’s core technical bet is low-energy, compliant tendon/cable-driven actuation and custom components to enable safer real-world interaction and learning-by-doing.
- Robot intelligence is bootstrapped from internet and simulated data, then improved via teleoperation-collected robot data and iterative real-world autonomous trials.
- As a founder, he emphasizes building before the market fully exists, using consumer adoption to create bottom-up pressure on enterprise, and maintaining a culture that embraces failure with rigorous learning.
IDEAS WORTH REMEMBERING
5 ideasHome humanoids require a different robotics paradigm than factories.
Factory robots succeed by relying on calibrated environments and slow “near-contact” motion, but homes are unstructured and dynamic, so robots must safely handle frequent real-world collisions and uncertainty.
Lower kinetic energy is central to safety and robustness.
High gear ratios store large rotational energy that can’t stop instantly on impact; compliant, low-energy actuation reduces harm to people, furniture, and the robot itself, enabling more natural interaction.
Hardware moats come from building what doesn’t exist off-the-shelf.
1X chose tendon drives and custom components that require years of deep engineering and dedicated manufacturing tooling, making the approach hard to copy quickly.
Learning depends on getting robots into the real world.
Internet and simulation data can start the process, but teleoperation provides grounded robot-task data, and large-scale improvement ultimately comes from autonomous trial-and-error in real environments.
“Labor among people” is inherently social, not just mechanical.
Even simple tasks (like opening a fridge) require communicating intent and behaving safely around humans, so social navigation and interaction are part of the core labor problem.
WORDS WORTH SAVING
5 quotesSo I think accepting failure and having that as part of a culture is incredibly important because if, if not, you're not innovating, right? Most of the things you do that has never been done before will just be plain out wrong.
— Bernt Børnich
I think the only thing that's not acceptable from a culture point of view is you didn't really try, you didn't give it everything you had, or you didn't actually reflect over why did it fail so you can learn.
— Bernt Børnich
There are two ways we lose, right? Either we lose velocity or we run out of money, and those are the two things we need to make sure never happens.
— Bernt Børnich
But if robots are gonna be able to live and learn among us, they need to be able to explore in the world. They need to be able to learn through trial and error.
— Bernt Børnich
Traditionally, scale does not happen first in enterprise... they almost never happen in enterprise first. They happen in consumer, and this is just because enterprise is risk-averse, and there are just too much red tape and barriers, right?
— Bernt Børnich
High quality AI-generated summary created from speaker-labeled transcript.
