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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Vydané v:	IEEE robotics and automation letters Ročník 9; číslo 10; s. 8258 - 8265
Hlavní autori:	Zeng, Yiming, Wu, Mingdong, Yang, Long, Zhang, Jiyao, Ding, Hao, Cheng, Hui, Dong, Hao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2024
Predmet:	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
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