Research on Object Grasping Point Selection Based on Deep Learning

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业控制网络与系统研究室

	Research on Object Grasping Point Selection Based on Deep Learning
	Yu XL(于晓龙)1 ; Yuan, Bo 2; Qin, Shukai 2; Zhang T(张涛)1 ; Zhang HL(张华良)1
	2018
会议日期	March 25-26, 2018
会议地点	Chengdu, China
关键词	deep learning depth image grasping points
页码	62-65
英文摘要	The research on robot grasping involves mechanical, control, computer, artificial intelligence and so on. Robot Grasping is also a good emplementation of minimal research to support other related research. Efforts on flexibility and interactivity of robot grasping can promote many related studies. In this paper, convolutional neural network is used to study the grasp candidates selection of two-finger robot grasp. The experient explained the processes of select candidate points in detail, the results of the convolutional neural network in the grasp candidates selection is verified through experiments.
源文献作者	Science and Engineering Research Center
产权排序	2
会议录	Proceedings of 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications（ICAITA2018）
会议录出版者	Atlantis Press
会议录出版地	Paris, France
语种	英语
ISSN号	1951-6851
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/23823]
专题	沈阳自动化研究所_工业控制网络与系统研究室
通讯作者	Qin, Shukai
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China 2.Northeastern University, Shenyang, Liaoning Province, China
推荐引用方式 GB/T 7714	Yu XL,Yuan, Bo,Qin, Shukai,et al. Research on Object Grasping Point Selection Based on Deep Learning[C]. 见:. Chengdu, China. March 25-26, 2018.