Adaptive Action Chunking for Robotic Imitation Learning
Action chunking strategies in robot imitation learning struggle to dynamically balance between long-range motion efficiency and short-range operational precision due to their fixed planning horizon. This paper presents an Adaptive Action Chunking framework that enables robots to dynamically predict...
Tallennettuna:
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2026-05-01
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| Sarja: | Biomimetics |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2313-7673/11/5/316 |
| Tagit: |
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