・Industrial NEXT
Robot work cells that can be moved to a new product line. Taught with simulation and demos, aimed at electronics and auto suppliers.
https://t.co/U3KrfO8gtZ
・Acumino
Robot AI for dexterous factory tasks. Hardware agnostic, taught by workers, and says it can deploy in days.
https://t.co/gKd7OanRzP
・Nomadic AI
Finds failures and edge cases in robot and AV video, then turns them into training data.
https://t.co/40lhI2g2LT
Joined the Mitsubishi Electric Innovation Day at Plug and Play.
Met some robot deployment startups.
One said the same task works across robots and sites. What breaks is when the task changes.
Attended the panel event of the deployment moat of Physical AI
3 things I learned tonight:
・hardware breaks before the model does. Sensors, tactile sensors and hands came up again and again.
・the second deployment of the same task is much faster.
・what scales is a task that repeats. Pick one vertical and one bounded job. Data centers were the example: same task, similar sites.
At the Voxel51 and Nebius workshop in SF today, here is what I heard about physical AI data:
・New robot, old data doesn’t carry over. Even two units of one model can differ.
・Bought data can’t be checked before you commit. One buyer reportedly lost millions to bad camera calibration.
・Country and culture matter too. Japanese data, for example, is seen as valuable: signs, left-side driving, local ways of interacting.
If your team collects robot data, I’d love to hear what has been hardest in practice.
Feel free to DM me.
@RoboticsCtr@MongoDB@viamrobotics Hi! I heard about Viam at the Long Horizon event and got very interested.
I know it looks full, but I'd love to join tomorrow's hackathon if any spot opens up, even on the waitlist or as an observer.
I code in Python and work with LeRobot and an SO-101.
@AnneliesGamble Hi Annelies, I'd love a seat.
I'm Takeshi, a founder from Osaka, now in SF, building a tool that checks whether a robot's data still works when the manufacturing line or robot changes.
Curious what breaks first in real deployments.
Hi! Just moved to SF from Japan/Osaka.
I’m building a data collection platform in the Physical AI space, helping robotics teams check if their data carries over to a new robot.
Would love a coffee with
・data/ML leads at Series A+ robotics cos
・teleop/egocentric/annotation sellers
・robot data QA folks
Who should I meet? Intros welcome!