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Matching papers

Show-Harness: Just a VLM Agent Can Play Robots

89 upvotes · 9 SEP 2026 · Yanzhe Chen, Zechen Bai, Zhijun Cao et al.

This paper shows how a vision-language model (VLM) can control robots without needing extensive pretraining or specialized hardware, by providing a compact interface that links the model's intentions to specific actions. Practitioners might care about this because it could make robots more accessible and user-friendly.

embodied AIvision-language modelsrobot controlsemanticsreinforcement learning