南方科技大学知识苑(SUSTech KC): GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping

题名	GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping
作者	Chao Tang 1 ; Dehao Huang1 ; Wenqi Ge1 ; Weiyu Liu 2; Hong Zhang1
发表日期	2023-11
DOI	10.1109/LRA.2023.3320012
发表期刊	IEEE Robotics and Automation Letters 影响因子和分区
ISSN	2377-3774
卷号	8 期号:11页码:7551-7558
关键词	Grasping perception for grasping and manipulation deep learning in grasping and manipulation
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	第一
WOS记录号	WOS:001089173600011
EI入藏号	20234014842187
EI主题词	Computational linguistics ; Deep learning ; Job analysis ; Knowledge management ; Semantics ; Zero-shot learning
EI分类号	Ergonomics and Human Factors Engineering:461.4 ; Pipe, Piping and Pipelines:619.1 ; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1 ; Computer Applications:723.5 ; Information Retrieval and Use:903.3
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10265134
引用统计	被引频次[WOS]：6
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/575775
专题	南方科技大学工学院_机械与能源工程系
作者单位	1.Shenzhen Key Laboratory of Robotics and Computer Vision, Southern University of Science and Technology, Shenzhen, China 2.Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA
第一作者单位	南方科技大学
第一作者的第一单位	南方科技大学
推荐引用方式 GB/T 7714	Chao Tang,Dehao Huang,Wenqi Ge,et al. GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping[J]. IEEE Robotics and Automation Letters,2023,8(11):7551-7558.
APA	Chao Tang,Dehao Huang,Wenqi Ge,Weiyu Liu,&Hong Zhang.(2023).GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping.IEEE Robotics and Automation Letters,8(11),7551-7558.
MLA	Chao Tang,et al."GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping".IEEE Robotics and Automation Letters 8.11(2023):7551-7558.