X2Real: an eXtensive simulation benchmark for real-world generalist policies
X2Real: an eXtensive simulation benchmark for real-world generalist policies
X2Real is a simulation benchmark that evaluates the real-world performance of robotic manipulation policies by aligning simulation visual and physical properties with real hardware. It features a comprehensive taxonomy with 10 capability dimensions and 44 hierarchical tasks, along with multi-axis domain randomization and disjoint training-evaluation pipelines to ensure fair and reliable evaluation.
Source: arXiv Robotics — research abstracts · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
- Environment
- SimulationOpen source S1
Reported numbers
simulation trajectory dataset
300 hours
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
X2Real: an eXtensive simulation benchmark for real-world generalist policies
Open source S1
training-evaluation pipelines to mitigate benchmark exploitation and ensure credible evaluation. Powered by a custom physical domain-specific language, the Mana simulation ecosystem supports modular task design and iterative performance analysis, alongside a nearly 300-hour annotated simulation trajectory dataset. X2Real offers a faithful, diverse, and fair evolving evaluation infrastructure, effectively bridging the
Open source S5
Source：arXiv Robotics — research abstracts · arxiv.org