Filtering Robot Datasets is a Black Art
chris_j_paxton · x · 2026-07-14
The core argument is that **effectively filtering robotics datasets is incredibly difficult**, resembling a "black art." The author stresses that simply piling on data volume isn't enough; the real challenge lies in identifying and selecting data that actually benefits robot learning.
More from Embodied
- MW team shows Gen1 of MW-bot, a semi-humanoid home robot built for pantry storage and ceiling rails — CyberRobooo · 2026-07-21
- Kunlun Spins Out Riemann Dynamics, Unveils World Action Model for Robotics — 0xAllen_ · 2026-07-21
- BrainCo demos near-real-time bionics without implants and claims 85% lower prosthetic cost — TrueOrange9944 · 2026-07-21
- OpenAI’s $230 CodexMicro sold out, and users are already cloning it with Stream Decks — APPSO · 2026-07-21
- Xiaomi-Robotics-1 shows robot motion improves more from data than bigger models — The Decoder · 2026-07-21
- HarmoHOI generates multi-view hand-object videos and aligned 3D motion in one diffusion model — cn-scut · 2026-07-21