IROS Robotics Artifact Evaluator
Packages and audits robotics research artifacts, logs, configs, and hardware ledgers for rigorous IROS peer review submissions.
The IROS Artifact Evaluation skill guides robotics researchers in structuring, validating, and packaging reproducibility evidence bundles for academic submissions. Even though IROS lacks a formal artifact track, this skill helps authors assemble an auditable robotics artifact stack—including hardware ledgers, sensor timestamps, rosbag-equivalent trial logs, exact calibration configs, and run-ready code—ensuring experimental claims like onboard execution rates and sim-to-real transfer are demonstrable to skeptical reviewers while maintaining strict double-anonymous compliance.
Key Features
01Provides guidance on transitioning from anonymous review bundles to public archival releases
02Audits experimental claims against empirical logs to prevent unverified performance assertions
03Structures the complete robotics artifact stack across hardware, logs, configs, code, and data
04Enforces double-anonymous review standards by scrubbing paths, calibration tags, and author metadata
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06Generates standardized artifact evaluation summaries highlighting audibility and upload fixes
Use Cases
01Packaging rosbags, calibration parameters, and hardware specs for a double-anonymous IROS submission
02Preparing post-acceptance open-source artifact repositories with citable DOIs for IEEE Xplore
03Auditing sim-to-real transfer claims and onboard timing logs before submitting a robotics paper