Research Progress on Field Weeding Robots: A Review
FU Leiyang, LI Shaowen, ZHANG Le, MENG Yuyao
1. School of Information & Computer Science, Anhui Agricultural University, Hefei 230036, China; 2. Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei 230036, China
Abstract:The field of weed removal is focused. Firstly, the background and application value of weeding robots are introduced, and the development status of weeding robots at home and abroad is reviewed. Then, weeding robot structures and related technologies are analyzed mainly, and the prospect for the future development of weeding robots is expected. Finally, a conclusion is made.
[1] 张文莉,陈树人,褚德宏. 除草机器人研究现状与趋势[J].农业装备技术,2015,41(2):6-10. Zhang W L, Chen S R, Zhu D H. Research review on field weeding robot[J].Agricultural Equipment & Technology, 2015, 41(2):6-10. [2] 刘文,徐丽明,邢洁洁,等. 作物株间机械除草技术的研究现状[J].农机化研究,2017,39(1):243-250. Liu W, Xu L M, Xing J J, et al. Research status of mechanical intra-row weedcontrol in row crops[J]. Journal of Agricultural Mechanization Research,2017, 39(1):243-250. [3] 沈雁君,徐柳,刘敏. 崇明区家庭农场稻田除草现状与发展对策[J].中国植保导刊,2017,37(11):84-86. Shen Y J, Xu L, Liu M. Current situation and development strategy of weedingin paddy field of family farm in Chongming District[J]. China PlantProtection, 2017, 37(11):84-86. [4] 巫厚长,魏重生,蒯文兴,等. 除草剂精克草能对烟田节肢动物群落的影响[J].安徽农业大学学报,2001,28(4):372-375. Wu H Z, Wei C S, Kuai W X, et al. Structure of arthropod communities intobacco fields with herbicide use[J]. Journal of Anhui AgriculturalUniversity, 2001, 28(4):372-375. [5] 刘文强,周浩,孟秋成,等. 灭生性除草剂草铵膦在抗除草剂转基因早稻栽培中应用效果研究[J].中国农学通报,2016,32(12):200-204. Liu W Q, Zhou H, Meng Q C, et al. Effect of non-selective herbicideglufosinate on cultivation of herbicide-resistant transgenic early seasonrice[J]. Chinese Agricultural Science Bulletin, 2016, 32(12):200-204. [6] 王艳红. 国外农机制造领先中国的原因解析[J].农业工程,2018,8(8):3-4. Wang Y H. An analysis of the reasons why foreign agricultural machinerymanufacturing leads China[J]. Agricultural Engineering, 2018, 8(8):3-4. [7] Slaughter D C, Giles D K, Downey D, et al. Autonomous robotic weedcontrol systems:A review[J]. Computers and Electronics in Agriculture,2008, 61(1):63-78. [8] Lee W S, Slaughter D C, Giles D K. Robotic weed control systemfor tomatoes[J]. Precision Agriculture, 1999, 1(1):95-113. [9] Astrand B, Baerveldt A-J. An agricultural mobile robotwith vision-based perception for mechanical weed control[J]. AutonomousRobots, 2002, 13(1):21-35. [10] Bak T, Jakobsen H. Agriculturalrobotic platform with four wheel steering for weed detection[J]. BiosystemsEngineering, 2004, 87(2):125-136. [11] Chocron O, Delaleau E, Fleureau J-L, et al. Flatness-based control of amechatronic weed killer autonomous robot[C]//IEEE International Symposiumon Industrial Electronics. Piscataway, USA:IEEE, 2007:2214-2219. [12] Bakker T. Anautonomous robot for weed control:Design, navigation and control[D].Wageningen, Netherlands:Wageningen University, 2009. [13] Norremark M, Griepentrog H W, Nielsen J, et al. Evaluation of an autonomousGPS-based system for intra-row weed control by assessing the tilledarea[J]. Precision Agriculture, 2012, 13(2):149-162. [14] Perez-Ruiz M, Slaughter D C, Fathallah F A, et al. Co-roboticintra-row weed control system[J]. Biosystems Engineering, 2014, 126:45-55. [15] Bawden O, Kulk J, Russell R, et al. Robot for weed speciesplant-specific management[J]. Journal of Field Robotics, 2017, 34(6):1179-1199. [16] 郭伟斌,陈勇. 基于模糊控制的除草机器人自主导航[J].机器人,2010,32(2):204-209. Guo W B, Chen Y. Fuzzy control based autonomous navigation for a weedingrobot[J]. Robot, 2010, 32(2):204-209. [17] 张春龙,黄小龙,耿长兴,等. 智能锄草机器人系统设计与仿真[J].农业机械学报,2011,42(7):196-199,185. Zhang C L, Huang X L, Geng C X, et al. Design and simulation of intelligentweeding robot system[J]. Transactions of the Chinese Society forAgricultural Machinery, 2011, 42(7):196-199, 185. [18] Zhang Q, Xia H, Huang X G. The structure andrealization of a compact weeding robot in stamping mode for paddyfields[M]//Informatics in Control, Automation and Robotics. Berlin,Germany:Springer, 2012:205-212. [19] 卢衷正,戈振扬,丁巍. 四足除草机器人的ADAMS与MATLAB联合仿真[J].机械科学与技术,2016,35(3):375-380. Lu Z Z, Ge Z Y, Ding W. Co-simulating quadruped weeding robot using ADAMSand MATLAB[J]. Mechanical Science and Technology for Aerospace Engineering,2016, 35(3):375-380. [20] 朱德慧. 植保无人机在麦田化学除草上的应用效果试验[J].安徽农学通报,2016,22(12):74-75. Zhu D H. The application effect of plant protection drones on chemicalweeding in wheat fields[J]. Anhui Agricultural Science Bulletin, 2016,22(12):74-75. [21] 张世强. 植保无人机在玉米田除草上的应用[J].现代农业科技,2019(7):87-88. Zhang S Q. The application of plant protection drones in corn fieldweeding[J]. Xiandai Nongye Keji, 2019(7):87-88. [22] 张小秋,宋修鹏,梁永检,等. 植保无人机在蔗田化学除草上的应用效果[J].中国糖料,2020,42(1):61-65. Zhang X Q, Song X P, Liang Y J, et al. Application effects of unmannedaerial vehicle on chemical weed control in sugarcane field[J]. Sugar Cropsof China, 2020, 42(1):61-65. [23] Wen S, Zhang Q Y, Deng J Z, et al. Design and experiment of a variablespray system for unmanned aerial vehicles based on PID and PWM control[J].Applied Sciences, 2018, 8(12). DOI:10.3390/app8122482. [24] 赵一鸣,李艳华,商雅楠,等. 激光雷达的应用及发展趋势[J].遥测遥控,2014,35(5):4-22. Zhao Y M, Li Y H, Shang Y N, et al. Application and development direction ofLiDAR[J]. Journal of Telemetry, Tracking and Command, 2014, 35(5):4-22. [25] 张智刚,罗锡文,胡炼,等. 4种DGPS模块动态定位精度测试与分析[J].华南农业大学学报,2010,31(1):102-107. Zhang Z G, Luo X W, Hu L, et al. Study on dynamic positioning precision of 4kinds DGPS modules[J]. Journal of South China Agricultural University, 2010,31(1):102-107. [26] Chebrolu N, Lottes P, Schaefer A, et al. Agricultural robot datasetfor plant classification, localization and mapping on sugar beet fields[J].International Journal of Robotics Research, 2017, 36(10):1045-1052. [27] Reiser D, Vazquez-Arellano M, Paraforos D S, et al. Iterative individualplant clustering in maize with assembled 2D LiDAR data[J]. Computers inIndustry, 2018, 99(8):42-52. [28] Krizhevsky A, Sutskever I, Hinton G E, et al. ImageNet classification with deepconvolutional neural networks[J]. Communications of the ACM, 2012, 60(6):1097-1105. [29] Zhang Y J, Huang J F, Gong N, et al. Automatic detection andclassification of marmoset vocalizations using deep and recurrent neuralnetworks[J]. Journal of the Acoustical Society of America, 2018, 144(1):478-487. [30] 杨杰伟,赵江铭. 微型机器人驱动技术发展及现状分析[J].郑州大学学报(工学版),2012,33(2):112-116. Yang J W, Zhao J M. Status and development of microrobot drivingtechnology[J]. Journal of Zhengzhou University (Engineering Science), 2012,33(2):112-116. [31] 徐长福,薄斌,徐家园,等. 固定线路机器人动态无线供电系统研究[J].电子设计工程,2018,26(13):90-94. Xu C F, Bo B, Xu J Y, et al. Study on wireless power supply system for robotin fixed line[J]. Electronic Design Engineering, 2018, 26(13):90-94. [32] Amer G, Mudassir S M M, Malik M A. Design and operation ofWi-Fi AgriBot integrated system[C]//International Conference on IndustrialInstrumentation and Control. Piscataway, USA:IEEE, 2015:207-212. [33] Tillett N D, Hague T, Grundy A C, et al. Mechanicalwithin-row weed control for transplanted crops using computer vision[J].Biosystems Engineering, 2008, 99(2):171-178. [34] Grimstad L, Pham C D, Phan H T, et al. On the design of alow-cost, light-weight, and highly versatile agricultural robot[C]//IEEEInternational Workshop on Advanced Robotics and Its Social Impacts.Piscataway, USA:IEEE, 2015:1-6. [35] Li X, Yi W, Chi H L, et al. A critical review ofvirtual and augmented reality (VR/AR) applications inconstruction safety[J]. Automation in Construction, 2018, 86:150-162. [36] 张兴义,隋跃宇. 土壤压实对农作物影响概述[J].农业机械学报,2005,36(10):161-164. Zhang X Y, Sui Y Y. Summarization on the effect of soil compaction oncrops[J]. Transactions of the Chinese Society for Agricultural Machinery,2005, 36(10):161-164. [37] 鲍明松,赵林萍,段立夫,等. 全轮动力和转向驱动的轻量化特种移动平台设计[J].机电信息,2020(8):107-108. Bao M S, Zhao L P, Duan L F, et al. Design of lightweight special mobileplatform with all-wheel power and steering drive[J]. Mechanical andElectrical Information, 2020(8):107-108. [38] 朴春日,颜国正,王志武,等. 一种履带式机器人设计及其越障分析[J].现代制造工程,2013(3):24-27. Piao C R, Yan G Z, Wang Z W, et al. Design of a tracked robot and analysisof its obstacle-climbing[J]. Modern Manufacturing Engineering, 2013(3):24-27. [39] 谭加加,刘鸿宇,黄武,等. PID控制算法综述[J].电子世界,2015,16:78-79. Tan J J, Liu H Y, Huang W, et al. Overview of PID control algorithm[J].Electronics World, 2015, 16:78-79. [40] Duerinckx K, Mouazen A M, Anthonis J, et al. Effects ofspring-tine settings and operational conditions on the mechanicalperformance of a weed harrow tine[J]. Biosystems Engineering, 2005, 91(1):21-34. [41] O'Dogherty M J, Godwin R J, Dedousis A P, et al. A mathematicalmodel of the kinematics of a rotating disc for inter- and intra-rowhoeing[J]. Biosystems Engineering, 2007, 96(2):169-179. [42] Melander B. Optimizationof the adjustment of a vertical axis rotary brush weeder for intra-row weedcontrol in row crops[J]. Journal of Agricultural Engineering Research,1997, 68(1):39-50. [43] Martelloni L, Fontanelli M, Frasconi C, et al. Cross-flaming application forintra-row weed control in maize[J]. Applied Engineering in Agriculture,2016, 32(5):569-578. [44] Xiong Y, Ge Y Y, Liang Y L, et al. Development of aprototype robot and fast path-planning algorithm for static laserweeding[J]. Computers and Electronics in Agriculture, 2017, 142(B):494-503. [45] Wang H C, Tong J, Chen D H, et al. Geometricalmodel reconstruction and contour curve-analysis of toes of the fore claws ofzokor (Myospalax psilurus)[J]. Journal of Computational and TheoreticalNanoscience, 2015, 12(9):2732-2739. [46] 乔白羽,何雄奎,王志翀,等. 基于LiDAR扫描的高地隙宽幅喷雾机变量施药系统研制[J].农业工程学报,2020,36(14):89-95. Qiao B Y, He X K, Wang Z C, et al. Development of variable-rate sprayingsystem for high clearance wide boom sprayer based on LiDAR scanning[J].Transactions of the Chinese Society of Agricultural Engineering, 2020,36(14):89-95. [47] Li N, Zhang C L, Chen Z W, et al. Crop positioning forrobotic intra-row weeding based on machine vision[J]. International Journalof Agricultural and Biological Engineering, 2015, 8(6):20-29. [48] Torres-Sánchez J, López-Granados F, Peña J M. An automatic object-basedmethod for optimal thresholding in UAV images:Application for vegetationdetection in herbaceous crops [J]. Computers and Electronics in Agriculture,2015, 114(C):43-52. [49] Lottes P, Hoeferlin M, Sander S, et al. An effective classificationsystem for separating sugar beets and weeds for precision farmingapplications[C]//IEEE International Conference on Robotics and Automation.Piscataway, USA:IEEE, 2016:5157-5163. [50] de Rainville F M, Durand A, Fortin F-A, et al. Bayesian classification andunsupervised learning for isolating weeds in row crops[J]. Pattern Analysisand Applications, 2014, 17(2):401-414. [51] 孙俊,何小飞,谭文军,等. 空洞卷积结合全局池化的卷积神经网络识别作物幼苗与杂草[J].农业工程学报,2018,34(11):159-165. Sun J, He X F, Tan W J, et al. Recognition of crop seedling and weedrecognition based on dilated convolution and global pooling in CNN[J].Transactions of the Chinese Society of Agricultural Engineering, 2018,34(11):159-165. [52] Milioto A, Lottes P, Stachniss C, et al. Real-timeblob-wise sugar beets vs weeds classification for monitoring fields usingconvolutional neural networks[J]. ISPRS Annals of the Photogrammetry,Remote Sensing and Spatial Information Sciences, 2017, IV-2/W3:41-48. [53] 张乐,金秀,傅雷扬,等. 基于FasterR-CNN深度网络的油菜田间杂草识别方法[J].激光与光电子学进展,2020,57(2):304-312. Zhang L, Jin X, Fu L Y, et al. Recognition method for weeds in rapeseedfield based on Faster R-CNN deep network[J]. Laser & OptoelectronicsProgress, 2020, 57(2):304-312. [54] Belforte G, Deboli R, Gay P, et al. Robot design andtesting for greenhouse applications[J]. Biosystems Engineering, 2006,95(3):309-321. [55] Lottes P, Stachniss C. Semi-supervised onlinevisual crop and weed classification in precision farming exploiting plantarrangement[C]//IEEE/RSJ International Conference on Intelligent Robots andSystems. Piscataway, USA:IEEE, 2017:5155-5161. [56] 孟庆宽,何洁,仇瑞承,等. 基于机器视觉的自然环境下作物行识别与导航线提取[J].光学学报,2014,34(7):180-186. Meng Q K, He J, Qiu R C, et al. Crop recognition and navigation linedetection in natural environment based on machine vision[J]. Acta OpticaSinica, 2014, 34(7):180-186. [57] 刘颖,雷研博,范九伦,等. 基于小样本学习的图像分类技术综述[J/OL].自动化学报,[2020-10-06].https://doi.org/10.16383/j.aas.c190720. Liu Y, Lei Y B, Fan J L, et al. Survey on image classification technologybased on small sample learning[J/OL]. Acta Automatica Sinica,[2020-10-06].https://doi.org/10.16383/j.aas.c190720. [58] Hu K, Coleman G, Zeng S, et al. Graph weeds net:Agraph-based deep learning method for weed recognition[J]. Computers andElectronics in Agriculture, 2020, 174:No.105520. [59] Su W H, Fennimore S A, Slaughter D C, et al. Development of asystemic crop signalling system for automated real-time plant care invegetable crops[J]. Biosystems Engineering, 2020, 193:62-74. [60] Su W H, Slaughter D C, Fennimore S A. Non-destructiveevaluation of photostability of crop signaling compounds and dose effects oncelery vigor for precision plant identification using computer vision[J].Computers and Electronics in Agriculture, 2020, 168:No.105155. [61] Raja R, Nguyen T T, Vuong V L, et al. RTD-SEPs:Real-time detection of stem emerging points and classification of crop-weedfor robotic weed control in producing tomato[J]. Biosystems Engineering,2020, 195:152-171. [62] Raja R, Nguyen T T, Slaughter D C, et al. Real-time roboticweed knife control system for tomato and lettuce based on geometricappearance of plant labels[J]. Biosystems Engineering, 2020, 194:152-164. [63] Yao J, Fidler S, Urtasun R, et al. Describing the scene as a whole:Joint object detection, scene classification and semanticsegmentation[C]//IEEE Conference on Computer Vision and PatternRecognition. Piscataway, USA:IEEE, 2012:702-709. [64] Roerdink J B T M, Meijster A. The watershedtransform:Definitions, algorithms and parallelization strategies[J].Fundamenta Informaticae, 2000, 41(1-2):187-228. [65] Twaakyondo H M, Okamoto M. Structure analysis andrecognition of mathematical expressions[C]//3rd International Conference onDocument Analysis and Recognition. Piscataway, USA:IEEE, 1995:430-437. [66] Yang Y, Hallman S, Ramanan D, et al. Layered object models forimage segmentation[J]. IEEE Transactions on Pattern Analysis and MachineIntelligence, 2012, 34(9):1731-1743. [67] Long J, Shelhamer E, Darrell T, et al. Fully convolutionalnetworks for semantic segmentation[C]//IEEE Conference on Computer Visionand Pattern Recognition. Piscataway, USA:IEEE, 2015:3431-3440. [68] Huang H S, Deng J Z, Lan Y B, et al. Accurate weed mapping andprescription map generation based on fully convolutional networks using UAVimagery[J]. Sensors, 2018, 18(10):No.3299. [69] Garcia-Garcia A, Orts-Escolano S, Oprea S, et al. A review on deep learning techniquesapplied to semantic segmentation[DB/OL]. (2017-04-22)[2020-10-06].https://arxiv.org/abs/1704.06857. [70] Lu W, Wang T T, Chu J H, et al. The methodof real-time distance measurement based on monocular vision[J]. AdvancedMaterials Research, 2011, 403-408:1451-1454. [71] 项荣,应义斌,蒋焕煜,等. 基于双目立体视觉的番茄定位[J].农业工程学报,2012,28(5):161-167. Xiang R, Ying Y B, Jiang H Y, et al. Localization of tomatoes based onbinocular stereo vision[J]. Transactions of the Chinese Society ofAgricultural Engineering, 2012, 28(5):161-167. [72] Sevrin L, Noury N, Abouchi N, et al. Characterization of amulti-user indoor positioning system based on low cost depth vision(Kinect) for monitoring human activity in a smart home[C]//37thAnnual International Conference of the IEEE Engineering in Medicine andBiology Society. Piscataway, USA:IEEE, 2015:5003-5007. [73] Wan J, Wang D Y, Hoi S C, et al. Deep learning forcontent-based image retrieval:A comprehensive study[C]//22nd ACMInternational Conference on Multimedia. New York, USA:ACM, 2014:157-166. [74] Pan S J, Yang Q. A surveyon transfer learning[J]. IEEE Transactions on Knowledge and DataEngineering, 2010, 22(10):1345-1359. [75] Lake B M, Salakhutdinov R, Tenenbaum J B, et al. Human-level concept learningthrough probabilistic program induction[J]. Science, 2015, 350(6266):1332-1338. [76] Vazquez-Arellano M, Reiser D, Paraforos D S, et al. 3-D reconstruction ofmaize plants using a time-of-flight camera[J]. Computers and Electronics inAgriculture, 2018, 145:235-247. [77] Aliakbarpour H, Prasath V B, Palaniappan K, et al. Heterogeneous multi-viewinformation fusion:Review of 3-D reconstruction methods and a newregistration with uncertainty modeling[J]. IEEE Access, 2016, 4(1):8264-8285. [78] Smith R, Self M, Cheeseman P, et al. Estimatinguncertain spatial relationships in robotics[J]. Machine Intelligence andPattern Recognition, 1988, 5:435-461. [79] Henry P, Krainin M, Herbst E, et al. RGB-D mapping:UsingKinect-style depth cameras for dense 3D modeling of indoor environments[J].International Journal of Robotics Research, 2012, 31(5):647-663. [80] 宋晓茹,任怡悦,高嵩,等. 移动机器人路径规划综述[J].计算机测量与控制,2019,27(4):1-5,17. Song X R, Ren Y Y, Gao S, et al. Survey on technology of mobile robot pathplanning[J]. Computer Measurement & Control, 2019, 27(4):1-5,17. [81] Zhao X C, Luo Q S, Han B L, et al. Survey on robotmulti-sensor information fusion technology[C]//7th World Congress onIntelligent Control and Automation. Piscataway, USA:IEEE, 2008:5019-5023. [82] Adhikari S P, Kim G, Kim H. Deep neural network-basedsystem for autonomous navigation in paddy field[J]. IEEE Access, 2020, 8:71272-71278. [83] Choi K H, Han S K, Han S H, et al. Morphology-based guidanceline extraction for an autonomous weeding robot in paddy fields[J].Computers and Electronics in Agriculture, 2015, 113:266-274. [84] Garcia-Santillan I, Guerrero J M, Montalvo M, et al. Curved and straight crop rowdetection by accumulation of green pixels from images in maize fields[J].Precision Agriculture, 2018, 19(1):18-41. [85] Malavazi F B P, Guyonneau R, Fasquel J-B, et al. LiDAR-only basednavigation algorithm for an autonomous agricultural robot[J]. Computers andElectronics in Agriculture, 2018, 154:71-79. [86] 李扬,程维明,宫成文,等. 5-DOF机械臂运动学分析及运动轨迹规划[J].中国农机化学报,2018,39(9):16-21. Li Y, Cheng W M, Gong C W, et al. Kinematics analysis and motion trajectoryplanning of 5-DOF manipulator[J]. Journal of Chinese AgriculturalMechanization, 2018, 39(9):16-21. [87] 贾庆轩,袁博楠,陈钢,等. 关节锁定空间机械臂负载操作能力评估与轨迹规划[J].控制与决策,2020,35(1):243-249. Jia Q X, Yuan B N, Chen G, et al. Load carrying capacity evaluation and tasktrajectory planning of space manipulator with the locked joint[J]. Controland Decision, 2020, 35(1):243-249. [88] 蔡永超. 机械臂关节空间轨迹的时间最优智能规划研究[J].机械设计与制造,2020(3):272-276. Cai Y C. Mechanical arm trajectory optimal time intelligent planning in thejoint space[J]. Machinery Design & Manufacture, 2020(3):272-276. [89] 刘金琨,尔联洁. 多智能体技术应用综述[J].控制与决策,2001,16(2):133-140,180. Liu J K, Er L J. Overview of application of multiagent technology[J].Control and Decision, 2001, 16(2):133-140,180. [90] Bechar A, Vigneault C. Agriculturalrobots for field operations. Part 2:Operations and systems[J]. BiosystemsEngineering, 2017, 153:110-128. [91] Conesa-Munoz J, Gonzalez-de-Soto M, Gonzalez-de-Santos P, et al. Distributed multi-level supervisionto effectively monitor the operations of a fleet of autonomous vehicles inagricultural tasks[J]. Sensors, 2015, 15(3):5402-5428. [92] McAllister W, Osipychev D, Davis A, et al. Agbots:Weeding a fieldwith a team of autonomous robots[J]. Computers and Electronics inAgriculture, 2019, 163:No.104827. [93] Villani V, Pini F, Leali F, et al. Survey onhuman-robot collaboration in industrial settings:Safety, intuitiveinterfaces and applications[J]. Mechatronics, 2018, 55:248-266. [94] 曹建国,周建辉,缪存孝,等. 电子皮肤触觉传感器研究进展与发展趋势[J].哈尔滨工业大学学报,2017,49(1):1-13. Cao J G, Zhou J H, Miao C X, et al. Research progress and developmentstrategy on tactile sensors for e-skin[J]. Journal of Harbin Institute ofTechnology, 2017, 49(1):1-13. [95] Grieves M W. Productlifecycle management:The new paradigm for enterprises[J]. InternationalJournal of Product Development, 2005, 2(1-2):71-84. [96] Grieves M. Virtuallyperfect:Driving innovative and lean products through product lifecyclemanagement[M]. Cocoa, USA:Space Coast Press, 2011. [97] Tuegel E J, Ingraffea A R, Eason T G, et al. Reengineering aircraft structurallife prediction using a digital twin[J]. International Journal of AerospaceEngineering, 2011. DOI:10.1155/2011/154798. [98] 贝加莱工业自动化(中国)有限公司. Fog computing:A taxonomy,survey and future directions[M]//Internet of Everything. Singapore:Springer, 2017:103-130. [103] Armbrust M, Fox A, Griffith R, et al. A view of cloud computing[J].Communications of the ACM, 2010, 53(4):50-58. [104] Ahn H. A function as aservice based fog robotic system for cognitive robots[J]. Applied Sciences,2019, 9(21):No.4555. [105] 郭冉,王俊. 世界人口发展趋势和人口转变——理论与现实[J].人口与社会,2019,35(3):52-63. Guo R, Wang J. World population development trends and demographictransition:Theory and reality[J]. Population and Society, 2019, 35(3):52-63.