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arXiv:2610.39327 · v1

SONIC-K1: Porting a Universal Humanoid Motion Tracker to a Small Humanoid on a Single GPU

首次提交 2026-10-29 12:16
版本更新 2026-10-29 12:16
雷达观测 2026-10-30 11:25
arXiv ↗PDF ↗

摘要

We present SONIC-K1, to our knowledge the first open-weights whole-body motion tracker for the Booster K1 humanoid, obtained by adapting the SONIC framework to this smaller robot. The policy is trained from scratch on a single shared GPU with a small fraction of the compute reported for SONIC. In MuJoCo simulation, it tracks nearly all held-out motion clips and performs well on external benchmarks under SONIC's success criterion. On the real K1, it tracks upper-body and slow motions, while stepping and turning remain less reliable, and simulation experiments show a sensitivity to action latency. These results show broad motion-tracking capability on a modest training budget and point to quantitative hardware evaluation as the main next step. Code, policy weights and evaluation tools are publicly available.

作者备注:Project page: https://kyry.me/sonic-k1

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Kyrylo Kolesnichenko,Irvin Steve Cardenas,Jong-Hoon Kim

作者备注变化

4 pages, 3 figures. Project page: https://kyry.me/sonic-k1

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v2 · 2026-11-04 01:41 · 最新观测版本

SONIC-K1: Porting a Universal Humanoid Motion Tracker to a Small Humanoid on a Single GPU

We present SONIC-K1, to our knowledge the first open-weights whole-body motion tracker for the Booster K1 humanoid, obtained by adapting the SONIC framework to this smaller robot. The policy is trained from scratch on a single shared GPU with a small fraction of the compute reported for SONIC. In MuJoCo simulation, it tracks nearly all held-out motion clips and performs well on external benchmarks under SONIC's success criterion. On the real K1, it tracks upper-body and slow motions, while stepping and turning remain less reliable, and simulation experiments show a sensitivity to action latency. These results show broad motion-tracking capability on a modest training budget and point to quantitative hardware evaluation as the main next step. Code, policy weights and evaluation tools are publicly available.

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v1 · 2026-10-29 12:16

SONIC-K1: Porting a Universal Humanoid Motion Tracker to a Small Humanoid on a Single GPU

We present SONIC-K1, to our knowledge the first open-weights whole-body motion tracker for the Booster K1 humanoid, obtained by adapting the SONIC framework to this smaller robot. The policy is trained from scratch on a single shared GPU with a small fraction of the compute reported for SONIC. In MuJoCo simulation, it tracks nearly all held-out motion clips and performs well on external benchmarks under SONIC's success criterion. On the real K1, it tracks upper-body and slow motions, while stepping and turning remain less reliable, and simulation experiments show a sensitivity to action latency. These results show broad motion-tracking capability on a modest training budget and point to quantitative hardware evaluation as the main next step. Code, policy weights and evaluation tools are publicly available.

查看此版本解读 →查看此版本原文 ↗