| 题名 | GraspGPT: Leveraging Semantic Knowledge From a Large Language Model for Task-Oriented Grasping |
| 作者 | |
| 发表日期 | 2023-11
|
| DOI | |
| 发表期刊 | |
| ISSN | 2377-3774
|
| 卷号 | 8期号:11页码:7551-7558 |
| 关键词 | |
| 相关链接 | [IEEE记录] |
| 收录类别 | |
| 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]:1
|
| 成果类型 | 期刊论文 |
| 条目标识符 | http://kc.sustech.edu.cn/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.
|
| 条目包含的文件 | 条目无相关文件。 | |||||
|
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论