From Reasoning to Action: Benchmarking Frontier AI Models on LIBERO-10 Robot Manipulation Tasks

May Espinola, Qifan Zhang, Yu Xiang · 2026 · arXiv

DOI: 10.48550/arXiv.2610.30051 · open-access PDF

Hindi

सीमा एआई मॉडल में हाल के प्रगति ने दृश्य समझ, तर्क, योजना, और उपकरणों के उपयोग में उल्लेखनीय क्षमताओं को प्रदर्शित किया है, जो कार्य विशिष्ट प्रशिक्षण के बिना रोबोट प्रबंधन के लिए सामान्य उद्देश्य के एआई मॉडल का उपयोग करने की संभावना को बढ़ाता है। हालांकि, उनके प्रबंधन क्षमताओं को मानकीकृत रोबोटिक्स संदर्भों पर व्यवस्थित रूप से मूल्यांकन नहीं किया गया है।

Machine translation (Meta M2M100); the English original follows.

Abstract

Recent advances in frontier AI models have demonstrated remarkable capabilities in visual understanding, reasoning, planning, and tool use, raising the possibility of using general-purpose AI models for robot manipulation without task-specific training. However, their manipulation capabilities have not been systematically evaluated on standardized robotics benchmarks. In this report, we present a unified closed-loop manipulation framework for evaluating frontier AI models on the LIBERO-10 benchmark. Our framework enables models to control a robot directly through visual observations, robot pro

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