Jen Jen Chung argues robot data quality matters more than scale at IROS 2026
Overview
At IROS 2026, University of Queensland professor Jen Jen Chung argued that adding more data does not automatically produce better robot decisions.
Chung cited three methods: drone gliding, multi-robot communication using Bloom filters, and a policy-repair method for assembly tasks. She says each beat indiscriminate data expansion under the same demonstration budget, according to a report from Leiphone (雷峰网).
Written by AI from the articles below · updated Oct 10, 2:19 AM ET
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- LeiphoneNewsJen Jen Chung argues robot data quality matters more than scale at IROS 2026
AIAt IROS 2026, University of Queensland professor Jen Jen Chung argued that more data does not automatically produce better robot decisions. She cited drone gliding, multi-robot communication using Bloom filters, and a policy-repair method for assembly tasks, which she says beat indiscriminate data expansion under the same demonstration budget.
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