ICRA Reproducibility Guide

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Hardens robotics research papers for ICRA by structuring reproducible simulation pipelines, auditable hardware trial logs, and transparent platform specifications.

The ICRA Reproducibility skill helps robotics researchers implement rigorous reproducibility standards for ICRA conference submissions. It enforces a two-tier framework separating rerunnable digital assets (simulation, code, pinned seeds) from auditable physical hardware experiments (rosbags, calibration logs, raw camera feeds). The skill guides authors through completing exhaustive platform specification ledgers (firmware, compute latencies, sensor mounting, and control loop rates), standardizing open-source repository structures, and crafting honest, compliant data availability statements that satisfy IEEE robotics review standards.

Key Features

01Structures a two-tier reproducibility model separating rerunnable code from auditable hardware logs
02Generates comprehensive platform specification ledgers covering robot, sensor, compute, and calibration details
03Establishes systematic rosbag and session sheet logging conventions for hardware trials
04Provides standardized repository scaffolding tailored for double-anonymous peer review compliance
05Generates realistic, honest code and data availability statements without generic boilerplate
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Use Cases

01Auditing an ICRA paper manuscript prior to submission to ensure all hardware and control specifications are complete
02Writing transparent data availability statements and compute latency reports for robotics conferences
03Structuring open-source research repositories with pinned simulation seeds, Dockerfiles, and raw data download scripts