LVDiffusor: Distilling Functional Rearrangement Priors From Large Models Into Diffusor

Object rearrangement, a fundamental challenge in robotics, demands versatile strategies to handle diverse objects, configurations, and functional needs. To achieve this, the AI robot needs to learn functional rearrangement priors to specify precise goals that meet the functional requirements. Previo...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 9; H. 10; S. 8258 - 8265
Hauptverfasser:	Zeng, Yiming, Wu, Mingdong, Yang, Long, Zhang, Jiyao, Ding, Hao, Cheng, Hui, Dong, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2024
Schlagworte:	AI-enabled robotics Artificial intelligence Big Data big data in robotics and automation Data models Deep learning deep learning methods Diffusion models Layout Robot kinematics Robotics and automation Scalability Task analysis
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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