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Benchmarking Frontier AI Models on LIBERO-10 Robot Manipulation Tasks

arXiv cs.RO

The study proposes a unified closed-loop manipulation evaluation framework that assesses frontier AI models' ability to control a robot directly through visual observations, robot proprioception, and structured tool calls on the LIBERO-10 benchmark, without task-specific fine-tuning.

Part of the event: Frontier AI Model LIBERO-10 Manipulation Evaluation: GPT-6 Astra Leads with 44% Success Rate

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