A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends

doi:10.1109/TMECH.2019.2945135

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends
	Li, Rui1,2,3 ; Qiao, Hong4,5,6
发表期刊	IEEE-ASME TRANSACTIONS ON MECHATRONICS
ISSN	1083-4435
	2019-12-01
卷号	24 期号:6 页码:2718-2732
通讯作者	Qiao, Hong(hong.qiao@ia.ac.cn)
摘要	Grasping and assembly are essential tasks in high-precision robotic manipulation for industrial manufacturing as well as for home service applications. Many efforts have been devoted to this area in an attempt to meet the increasing precision requirement of the task. However, it remains a problematic objective to fulfill high precision, high reliability, high speed, and high flexibility all at once during one robotic manipulation task. To find answers to the above-mentioned problem, this article tries to categorize, review, and compare the recent works focusing on robotic grasping and assembly tasks to reveal some potential trends in this research area. The approaches will be divided into five groups based on the difference in the utilization of sensing or constraints. For each part, robotic grasping and assembly will be treated as practical cases to illustrate the concrete work in that area. This article could give the readers some knowledge on the current developments in robotic manipulation, and provide new thoughts on future direction in this area-inspiring new designs, structures, and systems to meet new requirements in applications in industrial manufacturing and home service.
关键词	Robot sensing systems Task analysis Grasping Robotic assembly Visualization Assembly environmental constraint grasping robotic manipulation sensing
DOI	10.1109/TMECH.2019.2945135
关键词[WOS]	VARIABLE STIFFNESS ACTUATORS ; ATTRACTIVE REGION ; INSERTION STRATEGY ; TACTILE SENSOR ; FORCE ; DESIGN ; MANIPULATION ; OBJECT ; HANDS ; HOLE
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFB1300200] ; National Key Research and Development Program of China[2017YFB1300203] ; National Natural Science Foundation (NSFC) of China[61627808] ; National Natural Science Foundation (NSFC) of China[91648205] ; National Natural Science Foundation (NSFC) of China[61702516] ; National Natural Science Foundation (NSFC) of China[51705515] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32050100] ; Sino-German (CSC-DAAD) Postdoc Scholarship Program[201800260080] ; National Key Research and Development Program of China[2017YFB1300200] ; National Key Research and Development Program of China[2017YFB1300203] ; National Natural Science Foundation (NSFC) of China[61627808] ; National Natural Science Foundation (NSFC) of China[91648205] ; National Natural Science Foundation (NSFC) of China[61702516] ; National Natural Science Foundation (NSFC) of China[51705515] ; Strategic Priority Research Program of Chinese Academy of Science[XDB32050100] ; Sino-German (CSC-DAAD) Postdoc Scholarship Program[201800260080]
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation (NSFC) of China ; Strategic Priority Research Program of Chinese Academy of Science ; Sino-German (CSC-DAAD) Postdoc Scholarship Program
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Engineering, Mechanical
WOS记录号	WOS:000506621800027
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	智能机器人
引用统计	被引频次：73[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29520
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Qiao, Hong
作者单位	1.Tech Univ Munich, Informat 6, D-80333 Munich, Germany 2.Beijing Key Lab Res & Applicat Robot Intelligence, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Cloud Comp Ctr, Dongguan 523808, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Li, Rui,Qiao, Hong. A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2019,24(6):2718-2732.
APA	Li, Rui,&Qiao, Hong.(2019).A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends.IEEE-ASME TRANSACTIONS ON MECHATRONICS,24(6),2718-2732.
MLA	Li, Rui,et al."A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends".IEEE-ASME TRANSACTIONS ON MECHATRONICS 24.6(2019):2718-2732.