# Show-Harness：仅靠 VLM 智能体就能操控机器人

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-09-09 08:00
- AIHOT 分数：44
- AIHOT 链接：https://aihot.news/items/cmtuxuyrs0iggrorp8mca6b2t
- 原文链接：https://arxiv.org/abs/2609.10522

## AI 摘要

Show-Harness 是一种 Embodied Harness，通过离散语义动作单元接口让 VLM 智能体直接"玩"机器人，无需额外模型容量或昂贵的具身预训练。

## 正文

Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to "play" robots through a compact semantic interface linking intent to action. Show-Harness exposes discrete semantic action units that VLMs can naturally reason over, while embodiment-specific interpreters deterministically ground them into local robot actions, keeping the VLM directly responsible for fine-grained physical decisions. Through the same interface, Show-Harness demonstrates the feasibility of (1) directly unlocking closed-source frontier VLMs for zero-shot robot control, and (2) adapting small-scale open-source VLMs for low-cost deployment with just a few GPU-hours of fine-tuning. We further develop GUMI (GUI Manipulation Interface), which extends the same semantic action space to GUI-based demonstration collection, allowing humans and agents to "play" robots across embodiments without specialized teleoperation hardware. Extensive experiments show that Show-Harness-equipped VLM agents generalize robustly across tasks, embodiments, and environments, outperforming representative agentic and VLA paradigms. These results suggest that the right interface can unlock substantial embodied capability from foundation VLMs, without requiring additional model capacity or costly embodiment-specific pretraining.