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Author

Jemin Hwangbo

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Jul 2026

PAKE: Learning Whole-Body Loco-Manipulation with Partial Kinematic Embeddings

This paper introduces a new Kinematic Normalizing Flow (KNF) model, trained on a large-scale kinematic dataset, that generates diverse yet feasible partial reference motions that effectively addresses whole-body control challenges by decomposing the complex loco-manipulation problem into partial reference motion generation and low-level imitation control.

Zhengmao He, Moonkyu Jung, Hyeongjun Kim et al. · 0 citations

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