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HAIL: Human-in-the-loop Assembly Imitation Learning System
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DOI：10.1016/j.jmsy.2026.04.020.png)
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Abstract
En 中文
• Proposes HAIL System: A human-in-the-loop MR framework for industrial robotic assembly benchmarks. • Comparative Policy Analysis: Evaluates four SOTA imitation learning baselines with real-world task assessments. • Meta-Action Decomposition: Uses meta-action decomposition to identify policy failures and provide guidelines.
Keywords:
HAIL
imitation learning
industrial robotic assembly
meta-action decomposition
policy analysis
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14.2
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