Research on Object Grasping Point Selection Based on Deep Learning | |
Yu XL(于晓龙)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)
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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. |
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