Causal Spectral Policy decomposes actions spectrally into coarse motion from obs/language and conditional fine corrections, outperforming baselines on precision manipulation tasks.
Consistency Matters: Defining Demonstration Data Quality Metrics in Robot Learning from Demonstration,
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cs.RO 2years
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UNVERDICTED 2representative citing papers
The DQAF framework automates post-episode quality assessment and natural-language feedback in teleoperation to help novice operators produce higher-quality robot demonstration data faster.
citing papers explorer
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Hierarchical Policy Learning via Spectral Decomposition
Causal Spectral Policy decomposes actions spectrally into coarse motion from obs/language and conditional fine corrections, outperforming baselines on precision manipulation tasks.
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Closing the Loop in Teleoperation: Episode-Level Data Quality Assessment and Feedback for High-Quality Demonstration Collection
The DQAF framework automates post-episode quality assessment and natural-language feedback in teleoperation to help novice operators produce higher-quality robot demonstration data faster.