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This release introduces PRM-as-a-Judge 1.5, a toolkit designed to evaluate embodied AI models by converting robot rollout videos into dense progress curves rather than relying on simple binary success rates. By deriving fine-grained metrics for failure recovery and execution quality alongside RoboPulse++ for reliability testing, the authors provide essential infrastructure for transparently assessing procedural capabilities in next-generation robotics.
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PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment

arXiv2 min read

arXiv:2608.14284v1 Announce Type: new Abstract: Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule-based process scores. We present PRM-as-a-Judge 1.5, a toolkit for robot process assessment that turns rollout videos into dense progress curves and derives multiple fine metrics. PRM-as-a-Judge 1.5 introduces three metrics, building on version 1.0, that characterize failure-side progress, post-drawdown recovery, and success-side execution quality, helping users understand embodied model capability. Based on the rollout videos from benchmarks, we perform a comprehensive assessment of the embodied models, providing some fine-grained metric results and key findings. We further introduce RoboPulse++ to evaluate the reliability of process reward models (PRM), providing evaluators with a more accurate testing platform. Moreover, we release a user-friendly assessment suite, including the benchmark, metric implementation, and visualization tools, to support reproducible manipulation process evaluation. We call on the community to rethink how robots are evaluated and establish transparent, procedural, and reproducible assessment as a foundation for the next generation of embodied intelligence.

Title:PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment

Abstract:Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule-based process scores. We present PRM-as-a-Judge 1.5, a toolkit for robot process assessment that turns rollout videos into dense progress curves and derives multiple fine metrics. PRM-as-a-Judge 1.5 introduces three metrics, building on version 1.0, that characterize failure-side progress, post-drawdown recovery, and success-side execution quality, helping users understand embodied model capability. Based on the rollout videos from benchmarks, we perform a comprehensive assessment of the embodied models, providing some fine-grained metric results and key findings. We further introduce RoboPulse++ to evaluate the reliability of process reward models (PRM), providing evaluators with a more accurate testing platform. Moreover, we release a user-friendly assessment suite, including the benchmark, metric implementation, and visualization tools, to support reproducible manipulation process evaluation. We call on the community to rethink how robots are evaluated and establish transparent, procedural, and reproducible assessment as a foundation for the next generation of embodied intelligence.

Robotics (cs.RO); Computer Vision and Pattern Recognition (cs.CV)

arXiv:2608.14284 [cs.RO]

(or arXiv:2608.14284v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2608.14284 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 266 words

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