IDP generates one-step robot actions by adaptively weighting a scalar potential objective using conditional expert geometry derived from local variations of observation-similar expert actions, combined with expert-proximal terminal evaluation.
Geometry-aware policy imitation, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
RE4 is a four-step imitation learning framework that combines model-free pose estimation with manipulation mode-aware transformation of demonstrations for object interactions.
citing papers explorer
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Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
IDP generates one-step robot actions by adaptively weighting a scalar potential objective using conditional expert geometry derived from local variations of observation-similar expert actions, combined with expert-proximal terminal evaluation.
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RE4: Transformation-aware Imitation of Object Interactions Using Manipulation Modes
RE4 is a four-step imitation learning framework that combines model-free pose estimation with manipulation mode-aware transformation of demonstrations for object interactions.