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Keio University
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Achieving 33脳 faster robot flow generation while improving success rates in manipulation tasks could redefine efficiency benchmarks in robotic motion planning.
ELSA outperforms existing metrics by aligning audio evaluations with human judgments at the level of individual acoustic events, transforming TTA assessment.
A lightweight VLA with deep state space models lets robots outperform larger models at language-guided manipulation while running 3x faster.
