# BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing

Source: https://arxiv.org/abs/2610.40532
Published: 2026-10-29
Status: unreviewed source report

## Source excerpt (up to 25 words)

> How effectively can vision-language-action (VLA) models learn diverse language-conditioned behaviors as training data scales? Investigating this question requires large and varied robot datasets, whose collection

## Review question

Inspect benchmark version, contamination controls, sample size, held-out tasks, adversarial failures and scoring rules. Higher scores alone do not establish lower production risk.

No independent proof check or claim of peer review.