Research on Digital Twin Modeling Method for Robotic Assembly Cell Based on Data Fusion and Knowledge Reasoning

doi:10.3901/JME.2024.05.036

Abstract

Abstract: At present, robotic task planning usually relies on manual teaching or offline programming, which often requires operators to spend a lot of time to define and program the operating process of robot. In order to further improve the autonomy and efficiency of robotic assembly task planning, a digital twin modeling method for robotic assembly cell based on data fusion and knowledge reasoning is proposed. The proposed method maps robotic assembly cell from physical space to virtual space, which lays the foundation for subsequent autonomous and dynamic assembly operations of robot in the digital twin environment. The robotic assembly cell is divided into three parts: robot & toolings, product, and robotic assembly process. The methods for constructing digital twin models of robot & toolings, product, and robotic assembly process are studies based on virtual-real mapping, fusion of multi-source heterogeneous data, and knowledge reasoning, respectively. The digital twin model of robotic assembly cell can realize fast planning and simulation verification for robotic assembly tasks. Finally, the proposed method is applied to the robotic assembly task planning for a type of stepping motor. The effectiveness of the proposed method in real application cases is verified.

Key words: digital twin, industrial robot, assembly, modeling, task planning

CLC Number:

TG156

LIU Daxin, WANG Ke, LIU Zhenyu, XU Jiatong, TAN Jianrong. Research on Digital Twin Modeling Method for Robotic Assembly Cell Based on Data Fusion and Knowledge Reasoning[J]. Journal of Mechanical Engineering, 2024, 60(5): 36-50.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.2024.05.036

http://www.cjmenet.com.cn/EN/Y2024/V60/I5/36

References

[1] 王田苗，陶永. 我国工业机器人技术现状与产业化发展战略[J]. 机械工程学报，2014，50(9)：1-13. WANG Tianmiao，TAO Yong. Research status and industrialization development strategy of Chinese industrial robot[J]. Journal of Mechanical Engineering，2014，50(9)：1-13.
[2] CHEN L，WEI Z，ZHAO F，et al. Development of a virtual teaching pendant system for serial robots based on ROS-I[C]// IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics，Automation and Mechatronics (RAM)，2017：720-724.
[3] PAN Y，CHEN C，LI D，et al，Augmented reality-based robot teleoperation system using RGB-D imaging and attitude teaching device[J]. Robotics and Computer-Integrated Manufacturing，2021，71：102167.
[4] 陈成军，周以齐，曲斌. 基于力反馈的虚拟示教式机械手臂装配路径规划方法[J]. 系统仿真学报，2009，21(10)：2945-2950. CHEN Chengjun，ZHOU Yiqi，QU Bin. Assembly path planning for robot arm based on force feedback virtual teaching method[J]. Journal of System Simulation，2009，21(10)：2945-2950.
[5] 朱文博. 基于多人机交互模式的机器人示教系统开发[D]. 武汉：华中科技大学，2018. ZHU Wenbo. Development of robot teaching system based on multiple human-computer interaction modes[D]. Wuhan：Huazhong University of Science and Technology，2018.
[6] ONG S K，YEW A W W，THANIGAIVEL N K，et al. Augmented reality-assisted robot programming system for industrial applications[J]. Robotics and Computer- Integrated Manufacturing，2020，61：101820.
[7] DUQUE D A，PRIETO F A，HOYOS J G. Trajectory generation for robotic assembly operations using learning by demonstration[J]. Robotics and Computer-Integrated Manufacturing，2019，57：292-302.
[8] ROZO L，JIMÉNEZ P，TORRAS C. A robot learning from demonstration framework to perform force-based manipulation tasks[J]. Intelligent Service Robotics，2013，6(1)：33-51.
[9] WANG Y，XIONG R，YU H，et al. Perception of demonstration for automatic programing of robotic assembly：Framework，algorithm，and validation[J]. IEEE/ASME Transactions on Mechatronics，2018，23(3)：1059-1070.
[10] KYRARINI M，HASEEB M A，RISTIĆ-DURRANT D，et al. Robot learning of industrial assembly task via human demonstrations[J]. Autonomous Robots，2019，43(1)：239-257.
[11] 王斐，齐欢，周星群，等. 基于多源信息融合的协作机器人演示编程及优化方法[J]. 机器人，2018，40(4)：551-559. WANG Fei，QI Huan，ZHOU Xingqun，et al. Demonstration programming and optimization method of cooperative robot based on multi-source information fusion[J]. Robot，2018，40(4)：551-559.
[12] AERTBELIEN E，DE SCHUTTER J. eTaSL/eTC：A constraint-based task specification language and robot controller using expression graphs[C]// IEEE/RSJ International Conference on Intelligent Robots and Systems，2014：1540-1546.
[13] MICHNIEWICZ J，REINHART G. Cyber-physical- robotics-modelling of modular robot cells for automated planning and execution of assembly tasks[J]. Mechatronics，2016，34：170-180.
[14] NAGELE F，HALT L，TENBROCK P，et al. A prototype-based skill model for specifying robotic assembly tasks[C]// IEEE International Conference on Robotics and Automation (ICRA)，2018：558-565.
[15] 付艳，汤贤，刘世平，等. 基于人机协同的人形机器人实时任务规划[J]. 华中科技大学学报(自然科学版)，2017，45(1)：76-81. FU Yan，TANG Xian，LIU Shiping，et al. Real-time task planning for humanoid robot based on human-robot cooperation[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition)，2017，45(1)：76-81.
[16] FU Y，ZHU G，ZHU M，et al. Digital twin for integration of design-manufacturing-maintenance：An overview[J]. Chinese Journal of Mechanical Engineering，2022，35(4)：1-20.
[17] BILBERG A，MALIK A. A Digital twin driven human-robot collaborative assembly[J]. CIRP Annals，2019，68(1)：499-502.
[18] TIPARY B，ERDŐS G. Generic development methodology for flexible robotic pick-and-place workcells based on digital twin[J]. Robotics and Computer- Integrated Manufacturing，2021，71：102140.
[19] 杨赓，周慧颖，王柏村. 数字孪生驱动的智能人机协作：理论、技术与应用[J]. 机械工程学报，2022，58(18)：279-291. YANG Geng，ZHOU Huiying，WANG Baicun. Digital twin-driven smart human-machine collaboration：theory，enabling technologies and applications[J]. Journal of Mechanical Engineering，2022，58(18)：279-291.
[20] ZHUANG C，LIU Z，LIU J，et al. Digital twin-based quality management method for the assembly process of aerospace products with the grey-markov model and apriori algorithm[J]. Chinese Journal of Mechanical Engineering，2022，35(5)：66-86.
[21] SUN X，BAO J，LI J，et al. A digital twin-driven approach for the assembly-commissioning of high precision products[J]. Robotics and Computer-Integrated Manufacturing，2020，61：101839.
[22] WANG K，LIU D，LIU Z，et al. An assembly precision analysis method based on a general part digital twin model[J]. Robotics and Computer-Integrated Manufacturing，2021，68：102089.
[23] OU L M，XU X. Relationship matrix based automatic assembly sequence generation from a CAD model[J]. Computer-Aided Design，2013，45(7)：1053-1067.
[24] WANG K，LIU D，LIU Z，et al. A fast object registration method for augmented reality assembly with simultaneous determination of multiple 2D-3D correspondences[J]. Robotics and Computer-Integrated Manufacturing，2020，63：101890.