embracing the bitter lesson to solve robotics
Rohan K Seelamsetty (@ro_seelamsetty)
In physical AI, model improvement is bottlenecked by data. Specifically, data with:
→ The right hardware: stereo-inertial headsets, wrist cameras, UMI grippers, tactile gloves.
→ The right diversity: local businesses through to conglomerates accounting for 3% of a nation's GDP, across 150+ environment types on 5 continents.
→ The right post-processing: calibrated, synced, pose-tracked, QA'd, PII-scrubbed.
Praxis collects this data at scale to propel robotics development @ycombinator
reach out to rohan@praxisrobotics.io for samples!
Video
— https://nitter.net/ro_seelamsetty/status/2085514500627894465#m