Humanoid Robot Training Follows Scaling Laws
casper_hansen_ · x · 2026-07-13
A talk by Jim Fan discussed pre-training and post-training for humanoid robots, with the core takeaway being that robotics data is scaling similarly to LLMs:
- Robotics is also experiencing scaling laws driven by data size.
- Teams are actively looking for easier and more efficient data collection methods.
- This indicates that the training paradigm for embodied AI is converging with the practices of large model training.
More from Embodied
- ROS names Alejandro Hernández Cordero new project lead, eyes 2027 release — ___Mufasaa · 2026-10-27
- ROS Meetup coming to Google's NYC office Oct 29 with speakers from Tangent, Cohesive Robotics, Intrinsic — kscottz · 2026-10-27
- Tesla officially expands robotaxi service area across much of Houston, Texas — Polymarket · 2026-10-27
- Walden Robotics teaches robots to call for help, blending remote assist with autonomy — adnothing · 2026-10-27
- Folding-screen hinges: dozens of ultra-precise parts, one grain of sand can kill the panel — BenBajarin · 2026-10-27
- No π0 weights changed: Motoniq layer lifts real-robot precision fitting from 0/10 to 9/10 — hbouammar · 2026-10-27