LATENT: Humanoid Robot Sustains Multi-Shot Tennis Rallies with Humans Using Imperfect Motion Fragments — 164pts, 36cmts

LATENT (Tsinghua/Galbot)·medium signal

Tsinghua/Peking University/Galbot team deployed LATENT on the Unitree G1 humanoid, achieving sustained multi-shot tennis rallies against real human players by training only on motion fragments (primitive skill clips, not complete match sequences) — dramatically lowering data collection requirements for athletic dexterity. The system transfers to real hardware with sim-to-real design and can return balls to target locations across a wide range of conditions while preserving natural movement style. Published March 16, 2026 (arXiv 2603.12686), the HN response at 164pts signals robotics ML practitioners see this as a meaningful benchmark for data-efficient humanoid policy learning.