Deep Learning for Object Detection and Grasping: A Survey | |
Jia, Qun1,2![]() ![]() ![]() ![]() | |
2018-08 | |
会议日期 | 2018年8月11~13 |
会议地点 | 武夷山 |
页码 | 427-432 |
英文摘要 | Detecting and grasping objects in unstructured environments is an important yet difficult task. Fortunately, the breakthroughs from deep convolutional networks stimulate the development of object detection and grasping. The survey aims to serve as a comparison for region-based and region-free detection framework based on deep learning, and supplies the latest research results of object grasping with deep learning. Firstly, we briefly analyze the object detection and grasping. Then, the representative object detection methods based on deep learning are overviewed. Thirdly, we introduce the application of convolutional neural networks in object grasping. Finally, the potential trends in object detection and grasping based on deep learning are discussed. |
会议录 | IEEE International Conference on Information and Automation
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语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23605] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
通讯作者 | Zhiqiang, Cao |
作者单位 | 1.The state key laboratory of management and control for complex systems, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.School of Computer & Information Engineering, Beijing Technology and Business University |
推荐引用方式 GB/T 7714 | Jia, Qun,Jun, Cai,Zhiqiang, Cao,et al. Deep Learning for Object Detection and Grasping: A Survey[C]. 见:. 武夷山. 2018年8月11~13. |
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