DexJoCo: First High‑Difficulty Benchmark with 11 Dexterous Manipulation Tasks Covering Four Core Abilities

DexJoCo, a new MuJoCo‑based benchmark from the Chinese Academy of Sciences, introduces 11 complex dexterous‑hand tasks spanning tool use, bimanual collaboration, long‑horizon execution, and reasoning, and reveals that even state‑of‑the‑art robot learning models still struggle with reliable fine‑grained manipulation.

ACTDiffusion PolicyMuJoCo

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DexJoCo: First High‑Difficulty Benchmark with 11 Dexterous Manipulation Tasks Covering Four Core Abilities

Machine Heart

Jun 5, 2026 · Artificial Intelligence

Beyond Binary Success: Redefining Fine-Grained Manipulation Evaluation for Embodied AI

The paper introduces MetaFine, a diagnostic meta‑evaluation framework that moves robot manipulation assessment from a simple success/failure binary to a three‑dimensional analysis of understanding, perception, and behavior, revealing up to 70% over‑estimation in traditional benchmarks and offering a hybrid real‑sim testing pipeline for fair, reproducible results.

Embodied AIMetaFineVision-Language-Action

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Beyond Binary Success: Redefining Fine-Grained Manipulation Evaluation for Embodied AI