# PKU EPIC Lab proposes LIMMT, a data-centric study for humanoid motion tracking, accepted to ICML 2026

- Source: PKU EPIC Lab
- Published: 2026-06-05T06:33:09.000Z
- RoboHot: https://robohot.news/en/items/nyk17x6r0br2b2g3e3gfk24zb
- Original: https://arxiv.org/abs/2606.06953

## Summary

PKU EPIC Lab released LIMMT (Less Is More for Motion Tracking), which it describes as the first data-centric study for physics-based simulated humanoid motion tracking. The method defines motion data quality along three dimensions: physics feasibility, diversity, and complexity. Training on less than 3% of AMASS achieves better tracking performance than training on the full dataset, and the team also cleaned web-sourced mocap data. The paper has been accepted to ICML 2026; see arXiv:2606.06953.

## Why it matters

The paper presents a three-dimensional data quality framework and results from training on a small amount of data, offering a methodological reference for researchers working on humanoid motion tracking.