
What happened
ASTM International's robotics committee (F45) is developing proposed method WK100792, which measures how degraded optical information affects a manipulator's task performance.
Why it matters
The standard could help developers identify system limitations before real-world deployment, including edge cases hard to capture in training data.
WHO IT HITSRobot manufacturers, perception and machine-learning developers, system integrators, end users, and testing laboratories would use the method to assess performance under controlled degradation before deployment.
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The proposed standard comes as robots increasingly move from controlled settings into warehouses and farms, where optical sensors face unpredictable conditions. ASTM International member Aarati Noronha notes that tasks a robot performs reliably under ideal conditions become much harder in the real world. Stressors such as changing light, reflective materials, interference, and high temperatures can degrade the information from cameras, acting as a distractor for downstream machine-learning models. The proposed method would provide a repeatable way to measure performance under controlled degradation, which Noronha says could help identify system limitations before real-world deployment. The standard is also positioned to support United Nations Sustainable Development Goal #8 on decent work and economic growth.
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