RoboDojo introduces a unified benchmark for evaluating generalist robot manipulation policies across both simulation and real-world environments. Current benchmarks lack comprehensive coverage, often using simple or skill-specific tasks and limiting evaluation to either simulated or physical settings. RoboDojo addresses this by providing scalable simulation feedback while incorporating real-world deployment challenges, enabling more robust and reproducible policy assessment. Authored by Tianxing Chen et al., this