A review of robotic assembly strategies for the full operation procedure: planning, execution and evaluation

被引:53
作者
Jiang, Yuze [1 ]
Huang, Zhouzhou [1 ]
Yang, Bin [1 ]
Yang, Wenyu [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
关键词
Robotic assembly; Contact model; Reinforcement learning; Fault monitoring; Performance evaluation; PEG-IN-HOLE; INSERTION STRATEGY; FAULT-DETECTION; ELECTRIC CONNECTORS; PASSIVE COMPLIANCE; SKILL ACQUISITION; ATTRACTIVE REGION; DYNAMIC-ANALYSIS; FORCE; CONTACT;
D O I
10.1016/j.rcim.2022.102366
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The application of robots in mechanical assembly increases the efficiency of industrial production. With the requirements of flexible manufacturing, it has become a research hotspot to accomplish diversified assembly operations safely and efficiently in unstructured environments. In recent years, many advanced robot assembly strategies have been proposed. Fault monitoring and strategy performance evaluation have also attracted more attention. To promote the development of robotic assembly, this paper systematically reviews the recent research in this field. According to the assembly process, the review separates the research contents into target recognition and searching, compliant strategies for fine insertion motion and fault monitoring. The characteristics of each method are summarized. Furthermore, a performance evaluation for assembly strategies is proposed with typical metrics. We surveyed the classical benchmarks to provide support for standardized performance evaluation. Finally, the challenges and potential directions are discussed.
引用
收藏
页数:22
相关论文
共 210 条
[1]   An Approach for Peg-in-Hole Assembling using Intuitive Search Algorithm based on Human Behavior and Carried by Sensors Guided Industrial Robot [J].
Abdullah, Mustafa W. ;
Roth, Hubert ;
Weyrich, Michael ;
Wahrburg, Juergen .
IFAC PAPERSONLINE, 2015, 48 (03) :1476-1481
[2]   Adaptation of manipulation skills in physical contact with the environment to reference force profiles [J].
Abu-Dakka, Fares J. ;
Nemec, Bojan ;
Jorgensen, Jimmy A. ;
Savarimuthu, Thiusius R. ;
Kruger, Norbert ;
Ude, Ales .
AUTONOMOUS ROBOTS, 2015, 39 (02) :199-217
[3]   Solving peg-in-hole tasks by human demonstration and exception strategies [J].
Abu-Dakka, Fares J. ;
Nemec, Bojan ;
Kramberger, Aljaz ;
Buch, Anders Glent ;
Kruger, Norbert ;
Ude, Ales .
INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, 2014, 41 (06) :575-584
[4]   Symbolic-Based Recognition of Contact States for Learning Assembly Skills [J].
Al-Yacoub, Ali ;
Zhao, Yuchen ;
Lohse, Niels ;
Goh, Mey ;
Kinnell, Peter ;
Ferreira, Pedro ;
Hubbard, Ella-Mae .
FRONTIERS IN ROBOTICS AND AI, 2019, 6
[5]   Automated failure classification for assembly with self-tapping threaded fastenings using artificial neural networks [J].
Althoefer, K. ;
Lara, B. ;
Zweiri, Y. H. ;
Seneviratne, L. D. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2008, 222 (06) :1081-1095
[6]   Monitoring of self-tapping screw fastenings using artificial neural networks [J].
Althoefer, K ;
Lara, B ;
Seneviratne, LD .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2005, 127 (01) :236-243
[7]  
[Anonymous], 2007, 13 ANN C ADV SCH COM
[8]  
Asada H., 1988, Proceedings of the 1988 IEEE International Conference on Robotics and Automation (Cat. No.88CH2555-1), P120, DOI 10.1109/ROBOT.1988.12035
[9]  
Bdiwi M., 2015, 2015 IEEE 12 INT MUL, P1, DOI DOI 10.1109/SSD.2015.7348200
[10]   Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach [J].
Beltran-Hernandez, Cristian C. ;
Petit, Damien ;
Ramirez-Alpizar, Ixchel G. ;
Harada, Kensuke .
APPLIED SCIENCES-BASEL, 2020, 10 (19) :1-17