Sign inGet started
Paper · arXiv

ArtifactArena: Evaluating Models by What They Build in the Physical World

To evaluate the frontier, we must measure models not by what they say, but by what they can engineer and build in grounded physical environments. We introduce \textsc{ArtifactArena}, an open-ended platform where models face a physically grounded hardware-software co-design challenge: engineering fully functional robots to compete in a simulated arena. We evaluate a frontier model's zero-shot, verifier guided refinement, and open-ended physical design capabilities through three harnesses that refine their bot artifacts based on text descriptions, physics simulator feedback, and gameplay data. We benchmark these capabilities with an Elo ranking of frontier models derived from head-to-head t...

AuthorsKushagra Tiwary*, David Mayo*, Nikhil Behari et al.
Primary categorycs.RO
Published5 October 2026
Last updated at source5 October 2026
cs.ROcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/c500a79e-2904-4488-b3e7-df123bf074a1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.