计算机工程与应用 ›› 2022, Vol. 58 ›› Issue (2): 57-77.DOI: 10.3778/j.issn.1002-8331.2107-0096
胡春生,魏红星,闫小鹏,李国利
出版日期:
2022-01-15
发布日期:
2022-01-18
HU Chunsheng, WEI Hongxing, YAN Xiaopeng, LI Guoli
Online:
2022-01-15
Published:
2022-01-18
摘要: 通过对码垛机器人相关文献进行归纳整理,从结构优化、末端执行机构、运动规划、运动控制、机器人编程、国内应用等六个方面对码垛机器人进行了概述,分别阐述了机器人本体结构优化、运动规划的常见方法、机器人编程的常用手段、机器人控制的常用方法、避障规划的难点、多机器人协同的特殊性、各类型末端执行机构的优缺点,随后针对我国的码垛机器人应用现状,提出了对应的解决措施,针对码垛机器人关键技术的研究,指出了未来的发展方向和研究重点,可为相关研究人员提供参考。
胡春生, 魏红星, 闫小鹏, 李国利. 码垛机器人的研究与应用[J]. 计算机工程与应用, 2022, 58(2): 57-77.
HU Chunsheng, WEI Hongxing, YAN Xiaopeng, LI Guoli. Research and Application of Palletizing Robot[J]. Computer Engineering and Applications, 2022, 58(2): 57-77.
[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 T M,TAO Y.Research status and industrialization development strategy of Chinese industrial robot[J].Journal of Mechanical Engineering,2014,50(9):1-13. [2] 龚仲华,龚晓雯.工业机器人完全应用手册[M].北京:人民邮电出版社,2017:1-7. GONG Z H,GONG X W.Industrial robot complete application manual[M].Beijing:Posts and Telecommunications Press,2017:1-7. [3] 黄冰鹏,林义忠,杨中华,等.码垛机器人的研究与应用现状[J].包装工程,2017,38(5):82-87. HUANG B P,LIN Y Z,YANG Z H,et al.Research and application situation of palletizing robots[J].Packaging Engineering,2017,38(5):82-87. [4] 李晓刚,刘晋浩.码垛机器人的研究与应用现状、问题及对策[J].包装工程,2011,32(3):96-102. LI X G,LIU J H.Research and application situation,problems and solutions of palletizing robots[J].Packaging Engineering,2011,32(3):96-102. [5] 宋启良,梁秀兵,胡振峰,等.现代工业机器人的发展、应用及其绿色修复再制造研究现状[J].材料保护,2020,53(12):95-100. SONG Q L,LIANG X B,HU Z F,et al.Development and application of modern industrial robots and research sta-tus of green repair and remanufacture[J].Materials Protection,2020,53(12):95-100. [6] 黎显伟.码垛机器人的分类及应用[J].机械,2018,45(3):29-34. LI X W.The classification and application of palletizing robot[J].Machinery,2018,45(3):29-34. [7] 姚屏,林源,汤勇,等.结构拓扑优化方法及其机器人轻量化应用现状及发展[J].机电工程技术,2018,47(11):117-122. YAO P,LIN Y,TANG Y,et al.Current situation and improving trends of structural topology optimization method and the corresponding application in robot lightweight design[J].Mechanical & Electrical Engineering Technology,2018,47(11):117-122. [8] 万英和,吴连松,武冰昕,等.基于振动特性的码垛机器人结构优化[J].制造业自动化,2018,40(12):51-55. WAN Y H,WU L S,WU B X,et al.Structure optimization of palletizing robot based on vibration characteristics[J].Manufacturing Automation,2018,40(12):51-55. [9] 刘宏亮,祝雪峰,杨迪雄.基于等几何分析的结构优化设计研究进展[J].固体力学学报,2018,39(3):248-267. LIU H L,ZHU X F,YANG D X.Research advances in isogeometric analysis-based optimum design of structural[J].Chinese Journal of Solid Mechanics,2018,39(3):248-267. [10] 丁卯,耿达,周明东,等.基于变密度法的结构强度拓扑优化策略[J].上海交通大学学报,2021,55(6):764-773. DING M,GENG D,ZHOU M D,et al.Topology optimization strategy of structural strength based on variable density method[J].Journal of Shanghai Jiao Tong University,2021,55(6):764-773. [11] 蔡新,李洪煊,武颖利,等.工程结构优化设计研究进展[J].河海大学学报(自然科学版),2011,39(3):269-276. CAI X,LI H X,WU Y L,et al.Research progress of optimal design for engineering structure[J].Journal of Hohai University(Natural Science),2011,39(3):269-276. [12] 田昕,赵铁石,王唱,等.3-RHUR/PUS+PP混联机器人构型与性能分析[J].农业机械学报,2021,52(6):386-396. TIAN X,ZHAO T S,WANG C,et al.Configuration and performance analysis of 3-RHUR/PUS+PP hybrid robot[J].Transactions of the Chinese Society for Agricultural Machinery,2021,52(6):386-396. [13] 张伟中,李金平,叶敏,等.2-PUR-PSR并联机构尺度综合多目标优化[J].农业机械学报,2020,51(11):403-410. ZHANG W Z,LI J P,YE M,et al.Multiobjective optimization of dimensional synthesis for 2-PUR-PSR parallel manipulator[J].Transactions of the Chinese Society for Agricultural Machinery,2020,51(11):403-410. [14] 陈超,陈贺贺,武姝婷,等.基于正交试验的工业机器人机械臂的结构优化和轻量化[J].机床与液压,2021,49(5):20-24. CHEN C,CHEN H H,WU S T,et al.Structural optimization and lightweight of industrial robot manipulator based on orthogonal test[J].Machine Tool & Hydraulics,2021,49(5):20-24. [15] 李锦忠,唐宇存,陆秋龙,等.有限元和拓扑联合优化方法及其在机器人结构轻量化设计中的应用[J].机械科学与技术,2019,38(11):1663-1668. LI J Z,TANG Y C,LU Q L,et al.A method combining finite element and topology optimization and applicationin lightweight structure design of robot[J].Mechanical Science and Technology for Aerospace Engineering,2019,38(11):1663-1668. [16] 林煌杰,翟敬梅.基于CMA-ES算法的面向任务的机器人结构优化[J].组合机床与自动化加工技术,2021(5):18-21. LIN H J,ZHAI J M.Task-oriented robot structure optimization based on CMA-ES algorithm[J].Modular Machine Tool & Automatic Manufacturing Technique,2021(5):18-21. [17] 肖宇光,高峰.基于多约束条件下的机器人尺寸综合优化[J].机械设计,2021,38(4):1-8. XIAO Y G,GAO F.Dimension optimization of robots based on multi-constraints[J].Journal of Machine Design,2021,38(4):1-8. [18] 魏雅君,邱国梁,丁广和,等.一种重载码垛机器人结构优化设计方法[J].工程设计学报,2020,27(3):332-339. WEI Y J,QIU G L,DING G H,et al.A structural optimization design method for heavy-duty palletizing robot[J].Chinese Journal of Engineering Design,2020,27(3):332-339. [19] ALKALLA M G,FANNI M A.Integrated structure/control design of high-speed flexible robot arms using topology optimization[J].Mechanics Based Design of Structures and Machines,2019(1):1-22. [20] SHA L,LIN A,ZHAO X,et al.A topology optimization method of robot lightweight design based on the finite element model of assembly and its applications[J].Science Progress,2020,103(3):003685042093648. [21] WANG X,ZHANG D,ZHAO C,et al.Optimal design of lightweight serial robots by integrating topology optimization and parametricsystem optimization[J].Mechanism & Machine Theory,2019,132:48-65. [22] MENG Q M,LI J,SHEN H P,et al.Kinetostatic design and development of a non-fully symmetric parallel Delta robot with one structural simplified kinematic linkage[J].Mechanics Based Design of Structures and Machines,2021. [23] CHANG L,PIAO S,LENG X,et al.Study on falling backward of humanoid robot based on dynamic multi objective optimization[J].Peer-to-Peer Networking and Applications,2020,13(4):1236-1247. [24] HRAIECH S E,CHEBBI A H,AFFI Z,et al.Genetic algorithm coupled with the Krawczyk method for multi-objective design para-meters optimization of the 3-UPU manipulator[J].Robotica,2020,38(6):1138-1154. [25] LAKSHMI S G,JAVED A.Multi-body dynamic optimization for upper arm of industrialmanipulator[J].AIP Conference Proceedings,2020,2281(10):1-10. [26] KE W,BAI Y,LI H,et al.Control of stepping downstairs for humanoid robot based on dynamic multi-objective optimization[J].Concurrency and Computation:Practice and Experience,2020,33(5):e5999. [27] 马涛,杨冬,赵海文,等.一种新型欠驱动机械手爪的抓取分析和优化设计[J].机器人,2020,42(3):354-364. MA T,YANG D,ZHAO H W,et al.Grasp analysis and optimal design of a new underactuated manipulator[J].Robot,2020,42(3):354-364. [28] 高燕,申淑丽,黄昕,等.基于柔性夹具的四倍速机械手的设计与应用[J].机床与液压,2021,49(10):90-93. GAO Y,SHEN S L,HUANG X,et al.Design and application of a quadruple speed manipulator based on flexible fixture[J].Machine Tool & Hydraulics,2021,49(10):90-93. [29] 李康,刘文东,王璐,等.多功能气动柔性三指机械手设计与实验[J].机床与液压,2021,49(9):16-20. LI K,LIU W D,WANG L,et al.Design and experiment on multifu-nctional pneumatic flexible three-fingered manipulator[J].Machine Tool & Hydraulics,2021,49(9):16-20. [30] 张子超,王博文,靳少卫.用于机械手稳定抓取的磁致伸缩触觉传感器设计与研究[J].机电工程,2020,37(2):216-220. ZHANG Z C,WANG B W,JIN S W.Design and research of magnetostrictive tactile sensor for robotic stable grab[J].Mechanical & Electrical Engineering,2020,37(2):216-220. [31] 熊新国,徐洪亮,任枫轩.基于位移传感器的包装机械手运动跟踪方法设计[J].包装工程,2021,42(9):244-248. XIONG X G,XU H L,REN F X.Design of motion tracking method for packaging manipulator based on displacement sensor[J].Packaging Engineering,2021,42(9):244-248. [32] 于建均,安硕,阮晓钢,等.基于仿人机械手的五指力封闭抓取算法[J].计算机测量与控制,2019,27(5):192-198. YU J J,AN S,RUAN X G,et al.Five-finger algorithm based on humanoid manipulator[J].Computer Measure-ment & Control,2019,27(5):192-198. [33] 曹学鹏,包翔宇,张弓,等.基于模糊自适应和优化阻抗的双机器人力/位主从协同控制方法[J].工程科学与技术,2020,52(4):226-234. CAO X P,BAO X Y,ZHANG G,et al.Force/position master-slave cooperative control for dual robots based on fuzzy and optimized bacterial foraging algorithms[J].Advanced Engineering Science,2020,52(4):226-234. [34] 崔少伟,魏俊杭,王睿,等.基于视触融合的机器人抓取滑动检测[J].华中科技大学学报(自然科学版),2020,48(1):98-102. CUI S W,WEI J H,WANG R,et al.Robotic grasp slip detection based on visual-tactile fusion[J].Journal of Huazhong University of Science and Technology(Natural Science Edition),2020,48(1):98-102. [35] 闫九祥,赵永国,张艳芳,等.基于单目视觉的工业机器人拆垛系统设计与实验[J].机床与液压,2020,48(3):18-23. YAN J X,ZHAO Y G,ZHANG Y F,et al.Design and experiment of industrial robot stacking system based on monocular vision[J].Machine Tool & Hydraulic,2020,48(3):18-23. [36] SAITO T K,ONODERA K,SEINO R,et al.300-N class convex-based telescopic manipulator and trial for 3-DOF parallel mechanism robot[J].Journal of Robotics and Mechatronics,2021,33(1):141-150. [37] SHIKARI A,ASADA H.Triple scissor extender robot arm:a solution to the last one foot problem of manipulation[J].Robotics and Automation Letters,2018,3(4):3975-3982. [38] SETIAWAN J D,ARIYANTO M,MUNADI M,et al.Grasp posture control of wearable extra robotic fingers with flex sensors based on neural network[J].Electronics,2020,9(6):905. [39] MARTINI A,TRONCOSSI M,RIVOLA A.Algorithm for the static balancing of serial and parallel mechanisms combining counterweights and springs:generation,assessment and ranking of effective design variants[J].Mechanism and Machine Theory,2019,137:336-354. [40] HARUNA M,NOBORU K,OGINO M,et al.Comparison of three feedback modalities for haptics sensation in remote machine manipulation[J].IEEE Robotics and Automation Letters,2021,6(3):5040-5047. [41] CHIO D S,KIM T H,LEE S H,et al.Beyond human hand:shape-adaptive and reversible magnetorheological elastomer-based robot gripper skin[J].ACS Applied Materials & Interfaces,2020,12(39):44147-44155. [42] HE Y,MEI J P,FANG Z W,et al.Minimum-energy trajectory optimization for driving systems of palletizing robot joints[J].Mathematical Problems in Engineering,2018,2018:7247093. [43] 张浩杰,苏治宝,HERNANDEZ D E,等.移动机器人低能耗最优路径规划方法[J].农业机械学报,2018,49(9):19-26. ZHANG H J,SU Z B,HERNANDEZ D E,et al.Energy optimal path planning for mobile robots based on improved AD* algorithm[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(9):19-26. [44] 王玉宝,王诗宇,李备备,等.一种改进粒子群的工业机器人时间最优轨迹规划算法[J].小型微型计算机系统,2018,39(8):1878-1881. WANG Y B,WANG S Y,LI B B,et al.Time optimal trajectory planning algorithm for industrial robots with improved particle swarm optimization[J].Journal of Chinses Computer Systems,2018,39(8):1878-1881. [45] 连黎明.基于时间最优的机器人关节轨迹规划方法[J].组合机床与自动化加工技术,2018(9):57-60. LIAN L M.Robot joint trajectory planning method based on the optimal execution time[J].Modular Machine Tool & Automatic Manufacturing Technique,2018(9):57-60. [46] 南文虎,郑海霞,叶伯生.基于修型/射靶算法的工业机器人固定路径时间最优轨迹规划[J].机器人,2016,38(2):233-240. NAN W H,ZHENG H X,YE B S.Time-optimal trajectory planning based on the pruning/shooting algorithm for industrial robotalong specified paths[J].Robot,2016,38(2):233-240. [47] 赵晓,王铮,黄程侃,等.基于改进A*算法的移动机器人路径规划[J].机器人,2018,40(6):903-910. ZHAO X,WANG Z,HUANG C K,et al.Mobile robot path planning based on an improved A* algorithm[J].Robot,2018,40(6):903-910. [48] 张松灿,普杰信,司彦娜,等.蚁群算法在移动机器人路径规划中的应用综述[J].计算机工程与应用,2020,56(8):10-19. ZHANG S C,PU J X,SI Y N,et al.Survey on application of ant colony algorithm in path planning of mobile robot[J].Computer Engineering and Applications,2020,56(8):10-19. [49] 邹强,丛明,刘冬,等.仿鼠脑海马的机器人地图构建与路径规划方法[J].华中科技大学学报(自然科学版),2018,46(12):83-88. ZOU Q,CONG M,LIU D,et al.Robotic map building and path planning methods based on the hippocampus of rat’s brain[J].Journal of Huazhong University of Science and Technology(Natural Science Edition),2018,46(12):83-88. [50] 阮晓钢,周静,张晶晶,等.基于子目标搜索的机器人目标导向RRT路径规划算法[J].控制与决策,2020,35(10):2543-2548. RUAN X G,ZHOU J,ZHANG J J,et al.Robot goal guide RRT path planning based on sub-target search[J].Control and Decision,2020,35(10):2543-2548. [51] GUO N,LI C H,GAO T T,et al.A fusion method of local path planning for mobile robots based on LSTM neural network and reinforcement learning[J].Mathematical Problems in Engineering,2021,2021:5524232. [52] 张辰,周乐来,李贻斌.多机器人协同导航技术综述[J].无人系统技术,2020,3(2):1-8. ZHANG C,ZHOU L L,LI Y B.Overview of multi-robot collaborative navigation technology[J].Unmanned Systems Technology,2020,3(2):1-8. [53] 董朝瑞,郭欣,李宁,等.基于改进A~*算法的多机器人动态路径规划[J].高技术通讯,2020,30(1):71-81. DONG C R,GUO X,LI N,et al.Multi-robot dynamic path planning based on improved A~* algorithms[J].Chinese High Technology Letters,2020,30(1):71-81. [54] 刘逸凡,黄友锐,韩涛.融合有向D~*与RRT~*的移动机器人路径规划算法[J].计算机仿真,2021,38(7):317-322. LIU Y F,HUANG Y R,HAN T.Path planning algorithm for mobile robot based on directed D* and RRT*[J].Computer Simulation,2021,38(7):317-322. [55] 倪昌浩,邹海.基于改进蝙蝠算法的移动机器人路径规划方法研究[J].制造业自动化,2021,43(6):53-56. NI C H,ZOU H.Research on path planning method of mobile robot based on improved bat algorithm[J].Manufacturing Automation,2021,43(6):53-56. [56] 李波,易洁.基于时间的多机器人协调避碰算法研究[J].重庆理工大学学报(自然科学),2019,33(3):91-97. LI B,YI J.The time-based multi-robot coordinated collision avoidance algorithm[J].Journal of Chongqing University of Technology(Natural Science),2019,33(3):91-97. [57] 曹其新,黄先群,朱笑笑,等.基于保留区域的分布式多机器人路径规划[J].华中科技大学学报(自然科学版),2018,46(12):71-76. CAO Q X,HUANG X Q,ZHU X X,et al.Distributed multi-robot path planning based on reserved area[J].Journal of Huazhong University of Science and Technology(Natural Science Edition),2018,46(12):71-76. [58] 赵萍,雷新宇,陈波芝,等.基于TI-A*的多机器人动态规划协调方法研究[J].系统仿真学报,2019,31(5):925-935. ZHAO P,LEI X Y,CHEN B Z,et al.TI-A* based multi-robot dynamic planning and coordination method[J].Journal of System Simulation,2019,31(5):925-935. [59] 周盛世,单梁,常路,等.基于改进DDPG算法的机器人路径规划算法研究[J].南京理工大学学报,2021,45(3):265-270. ZHOU S S,SHAN L,CHANG L,et al.Robot path planning algorithm based on improved DDPG algorithm[J].Journal of Nanjing University of Science and Technology,2021,45(3):265-270. [60] 李斌,杨豪中,甘旭升,等.改进PSO算法融合人工势场法的工业机器人路径规划设计[J].系统科学与数学,2021,41(4):939-952. LI B,YANG H Z,GAN X S,et al.Path planning design of industrial robots based on improved PSO algorithm and artifical potential field method[J].Journal of Systems Science and Mathematical Sciences,2021,41(4):939-952. [61] 王贵程,吴国新,左云波,等.基于改进蚁群算法包装机器人轨迹规划研究[J].电子测量与仪器学报,2019,33(8):94-100. WANG G C,WU G X,ZUO Y B,et al.Research on trajectory planning of packaging robot based on improved ant colony algorithm[J].Journal of Electronic Measurementand Instrument,2019,33(8):94-100. [62] 刘晓林,毛智.考虑LIM栅格模型的MPMVPSO机器人路径规划算法[J].控制工程,2021,28(6):1255-1262. LIU X L,MAO Z.MPMVPSO algorithm for robot path planning considering LIM grid model[J].Control Engineering of China,2021,28(6):1255-1262. [63] 彭湘,向凤红,毛剑琳.基于势场-蚁群算法的平滑机器人路径规划[J].计算机仿真,2021,38(6):290-294. PENG X,XIANG F H,MAO J L.Smooth robot path planning based on improved ant colony optimization with artificial potential field[J].Computer Simulation,2021,38(6):290-294. [64] 高茂源,王好臣.基于改进蚁群算法的移动机器人路径规划[J].传感器与微系统,2021,40(6):142-144. GAO M Y,WANG H C.Path planning for mobile robots based on improved ant colony algorithm[J].Transducer and Microsystem Technologies,2021,40(6):142-144. [65] 郑凯林,韩宝玲,王新达.基于改进TEB算法的阿克曼机器人运动规划系统[J].科学技术与工程,2020,20(10):3997-4003. ZHENG K L,HAN B L,WANG X D.Ackerman robot motion planning system based on improved TEB algorithm[J].Science Technology and Engineering,2020,20(10):3997-4003. [66] 夏晶,张昊,周世宁,等.煤矸分拣机器人动态拣取避障路径规划[J/OL].煤炭学报:1-9[2021-08-18].https://doi.org/10.13225/j.cnki.jccs.2020.1448. XIA J,ZHANG H,ZHOU S N,et al.Dynamic picking and obstacle avoidance path planning of coal gangue sorting robot[J/OL].Journal of China Coal Society:1-9[2021-08-18].https://DOI.ORG/10.13225/j.cnki.jccs.2020. 1448. [67] MIAO C W,CHEN G Z,YAN C L,et al.Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm[J].Computers & Industrial Engineering,2021,156:107230. [68] HE C Y,WAN Y,GU Y X,et al.Integral reinforcement learning-based multi-robot minimum time-energy path planning subject to collision avoidance and unknown environmental disturbances[J].Control Systems Letters,2020,5(3):983-988. [69] KANG J G,LIM D W,CHOI Y S,et al.Improved RRT-connect algorithm based on triangular inequality for robot path planning[J].Sensors,2021,21(2):333. [70] HIDALGO-PANIAGUA A,VEGA-RODRíGUEZ M A,FERRUZ J,et al.Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach[J].Soft Computing,2017,21(4):949-964. [71] BOGAERTS B,SELS S,VANLANDUIT S,et al.A gradient-based inspection path optimization approach[J].Robotics and Automation Letters,2018,3(3):2646-2653. [72] POLDEN J,PAN Z X,LARKIN N,et al.Adaptive partial shortcuts:path optimization for industrial robotics[J].Journal of Intelligent & Robotic Systems,2017,86(1):35-47. [73] 刘爽.多机器人编队的运动规则[D].合肥:中国科学技术大学,2010. LIU S.Motion rules of multi-robot formation[D].Hefei:University of Science and Technology of China,2010. [74] 王晓明,宋吉,郑继新,等.改进B样条曲线的机器人轨迹拟合研究[J].传感器与微系统,2021,40(2):41-43. WANG X M,SONG J,ZHENG J X,et al.Research on robot trajectory fitting based on improved B-spline curve[J].Transducer and Microsystem Technologies,2021,40(2):41-43. [75] 陈学锋.码垛机器人轨迹规划算法研究[J].控制工程,2018,25(5):925-929. CHEN X F.Research on the trajectory planning algorithm of palletizing robots[J].Control Engineering of China,2018,25(5):925-929. [76] 张程,张卓.码垛机器人运动学分析及关节空间轨迹规划研究[J].组合机床与自动化加工技术,2020(2):19-21. ZHANG C,ZHANG Z.Kinematics analysis and joint space trajectory planning of palletizing robot[J].Modular Machine Tool & Automatic Manufacturing Technique,2020(2):19-21. [77] 王涛,陈立,郭振武,等.基于圆弧转接和跨段前瞻的拾放操作轨迹规划[J].计算机集成制造系统,2019,25(10):2648-2654. WANG T,CHEN L,GUO Z W,et al.Pick-and-place trajectory planning for based on arc transition and crosssection look-ahead[J].Computer Integrated Manufacturing Systems,2019,25(10):2648-2654. [78] 李进文,何素梅,吴海彬.一种直线插补算法及其在机器人中的应用研究[J].机电工程,2015,32(7):966-970. LI J W,HE S M,WU H B.Linear interpolation algorithm and its application in robot[J].Journal of Mechanical & Electrical Engineering,2015,32(7):966-970. [79] 牛方方.基于圆弧插补的工业码垛机器人轨迹规划[J].机械制造与自动化,2018,47(4):149-151. NIU F F.Trajectory planning for industrial palletizing robot based on circular interpolation[J].Machine Building & Automation,2018,47(4):149-151. [80] 牛启臣,张弓,张功学,等.多机器人轨迹规划研究综述及发展趋势[J].机床与液压,2021,49(12):184-189. NIU Q C,ZHANG G,ZHANG G X,et al.Review and development trend of multi-robot trajectory planning[J].Machine Tool & Hydraulics,2021,49(12):184-189. [81] 刘一均.基于RBF神经网络的码垛机器人轨迹优化[J].包装与食品机械,2019,37(2):62-65. LIU Y J.Trajectory optimization of palletizing robot based on RBF neural network[J].Packaging & Food Machinery,2019,37(2):62-65. [82] 韩顺杰,单新超,于爱君,等.基于改进粒子群算法的工业机器人轨迹规划[J].制造技术与机床,2021(4):9-14. HAN S J,SHAN X C,YU A J,et al.Industrial robot trajectory planning based on improved PSO algorithm[J].Manufacturing Technology & Machine Tool,2021(4):9-14. [83] 刘亚秋,赵汉琛,刘勋,等.一种基于改进的快速扩展随机树的工业机器人路径避障规划算法[J].信息与控制,2021,50(2):235-246. LIU Y Q,ZHAO H C,LIU X,et al.An improved RRT based obstacle avoidance path planning algorithm for industrial robot[J].Information and Control,2021,50(2):235-246. [84] 李黎,尚俊云,冯艳丽,等.关节型工业机器人轨迹规划研究综述[J].计算机工程与应用,2018,54(5):36-50. LI L,SHANG J Y,FENG Y L,et al.Research of trajectory planning for articulated industrial robot:a review[J].Computer Engineering and Applications,2018,54(5):36-50. [85] 何建成,李林升,林国湘.基于多目标粒子群算法工业机器人最优轨迹规划[J].制造业自动化,2021,43(2):57-62. HE J C,LI L S,LIN G X.The optimal planning of industrial robot trajectories based on MOPSO[J].Manufacturing Automation,2021,43(2):57-62. [86] 刘现伟,颉潭成,徐彦伟,等.基于合成运动的Delta机器人轨迹规划[J].制造业自动化,2021,43(7):19-23. LIU X W,JIE T C,XU Y W,et al.Delta robot trajectory planning based on synthetic motion[J].Manufacturing Automation,2021,43(7):19-23. [87] 刘现伟,颉潭成,徐彦伟,等.基于叠加摆线运动规律的Delta机器人轨迹规划[J].制造业自动化,2021,43(6):88-94. LIU X W,JIE T C,XU Y W,et al.Trajectory planning of delta robot based on superposition cycloid motion[J].Manufacturing Automation,2021,43(6):88-94. [88] 张皓宇,刘晓伟,任川,等.并联机器人正运动学与NURBS轨迹规划[J].机械设计与制造,2021(4):282-286. ZHANG H Y,LIU X W,REN C,et al.Forward kinematics control and NURBS trajectory planning for parallel robots[J].Machinery Design & Manufacture,2021(4):282-286. [89] 刘烨.基于复合多项式的并联机器人运动轨迹规划研究[J].中国工程机械学报,2020,18(6):492-497. LIU Y.Research on motion trajectory planning of parallel robot based on compound polynomial[J].Chinese Journal of Construction Machinery,2020,18(6):492-497. [90] ALGABRI R,CHOI M T.Target recovery for robust deep learning-based person following in mobile robots:online trajectory prediction[J].Applied Sciences,2021,11(9):4165. [91] ALI H,GONG D W,WANG M,et al.Path planning of mobile robot with improved ant colony algorithm and MDP to produce smooth trajectory in grid-based environment[J].Frontiers in Neurorobotics,2020,14:44. [92] BATISTA J,SOUZA D,SILVA J,et al.Trajectory planning using artificial potential fields with metaheuristics[J].IEEE Latin America Transactions,2020,18(5):914-922. [93] DAMAEVIIUS R,MASKELIUNAS R,NARVYDAS G,et al.Intelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory[J].Journal of Ambient Intelligence and Humanized Computing,2020,11(12):6223-6234. [94] WANG J Q,ZHANG T M,LIU X T,et al.Control system of 4-DOF palletizing robot based on improved R control multi-objective trajectory planning[J].Advances in Mechanical Engineering,2021,13(4):16878140211002705. [95] WU G L,ZHAO W K,ZHANG X P.Optimum time-energy-jerk trajectory planning for serial robotic manipulators by reparameterized quintic NURBS curves[J].Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2020,2020:0954406220969734. [96] LI Y,WANG J,JI Y.Function analysis of industrial robot under cubic polynomial interpolation in animation simulation environment[J].International Journal of Interactive Multimedia and Artificial Intelligence,2020,6(4):105-112. [97] KIM J,JIN M,SANG H P,et al.Task space trajectory planning for robot manipulators to follow 3-D curved contours[J].Electronics,2020,9(9):1424. [98] 蔡灿,刘璇,张建华,等.工业机器人避碰算法研究与展望[J].机械设计,2018,35(4):1-7. CAI C,LIU X,ZHANG J H,et al.Research and prospect of collision avoidance algorithm for industrial robots[J].Journal of Machine Design,2018,35(4):1-7. [99] 吴翩卉,卢杜晓,罗忠辉,等.智能机器人的超声波避障技术研发及应用[J].机床与液压,2019,47(9):46-50. WU P H,LU D X,LUO Z H,et al.Development and application of ultrasonic ranging and obstacle avoiding intelligent robot[J].Machine Tool & Hydraulics,2019,47(9):46-50. [100] 杨宇,刘宇红,彭燕,等.基于机器视觉的目标识别追踪算法及系统设计[J].传感器与微系统,2020,39(4):92-95. YANG Y,LIU Y H,PENG Y,et al.Design of object recognition and tracking algorithm and system based on machine vision[J].Transducer and Microsystem Technologies,2020,39(4):92-95. [101] 郭银景,孟庆良,孔芳,等.AUV路径规划算法研究现状与展望[J].计算机科学与探索,2020,14(12):1981-1994. GUO Y J,MENG Q L,KONG F,et al.Research status and prospect of AUV path planning algorithms[J].Journal of Frontiers of Computer Science and Technology,2020,14(12):1981-1994. [102] 杨凌耀,张爱华,张洁,等.栅格地图环境下机器人速度势实时路径规划[J].计算机工程与应用,2021,57(24):290-295. YANG L Y,ZHANG A H,ZHANG J,et al.Real-time path planning of velocity potential for robot in grid map environment[J].Computer Engineering and Applications,2021,57(24):290-295. [103] RATH A K,PARHI D R,DAS H C,et al.Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone[J].Defence Technology,2018,14(6):677-682. [104] 付泽民,吴力杰,乔涛涛,等.基于改进人工势场法的搬运机器人避障算法研究[J].机床与液压,2021,49(5):25-29. FU Z M,WU L J,QIAO T T,et al.Research on obstacle avoidance algorithm for mobile robot based on improved artificial potential field method[J].Machine Tool & Hydraulics,2021,49(5):25-29. [105] 李卫硕,孙剑,陈伟.基于BP神经网络机器人实时避障算法[J].仪器仪表学报,2019,40(11):204-211. LI W S,SUN J,CHEN W.Real-time obstacle avoidance algorithm for robots based on BP neural network[J].Chinese Journal of Scientific Instrument,2019,40(11):204-211. [106] 袁福龙,朱建平.基于改进蚁群算法的移动机器人最优路径规划[J].现代制造工程,2021(7):38-47. YUAN F L,ZHU J P.Optimal path planning of mobile robot based on improved ant colony algorithm[J].Modern Manufacturing Engineering,2021(7):38-47. [107] 曹毅,周轶,张亚宾.基于优化A*和DWA算法的移动机器人避障路径规划[J].机床与液压,2020,48(24):246-252. CAO Y,ZHOU Y,ZHANG Y B.Path planning for obstacle avoidance of mobile robot based on optimized A* and DWA algorithm[J].Machine Tool and Hydraulics,2020,48(24):246-252. [108] 柴慧敏,陈奋增,方敏,等.贝叶斯网络与模糊理论的移动机器人避障[J].控制工程,2020,27(10):1657-1664. CHAI H M,CHEN F Z,FANG M,et al.Obstacle avoidance for mobile robot based on Bayesian networks model and fuzzy theory[J].Control Engineering of China,2020,27(10):1657-1664. [109] ZHU S N, ZHU W Y,ZHANG X Q,et al.Path planning of lunar robot based on dynamic adaptive ant colony algorithm and obstacle avoidance[J].International Journal of Advanced Robotic Systems,2020,17(3):1-14. [110] WANG X W,TANG B,ZHOU X,et al.Double-robot obstacle avoidance path optimization for welding process[J].Mathematical Biosciences and Engineering,2019,16(5):5697-5708. [111] SANGIOVANN B,INCREMONA G P,PIASTRA M,et al.Self-configuring robot path planning with obstacle avoidance via deep reinforcement learning[J].IEEE Control Systems Letters,2020,5(2):397-402. [112] WANG Y,MA M.Research on intelligent obstacle avoidance control method for mobile robot in multi-barrier environment[J].International Journal of Embedded Systems,2020,12(4):467-474. [113] 解迎刚,兰江雨.协作机器人及其运动规划方法研究综述[J].计算机工程与应用,2021,57(13):18-33. XIE Y G,LAN J Y.Review of collaborative robot and its motion planning methods[J].Computer Engineering and Applications,2021,57(13):18-33. [114] 王贺彬,葛泉波,刘华平,等.面向观测融合和吸引因子的多机器人主动SLAM[J].智能系统学报,2021,16(2):371-377. WANG H B,GE Q B,LIU H P,et al.Multi-robot active SLAM for observation fusion and attractor[J].CAAI Transactions on Intelligent Systems,2021,16(2):371-377. [115] 陈骏岭,秦小麟,李星罗,等.基于人工势场法的多机器人协同避障[J].计算机科学,2020,47(11):220-225. CHEN J L,QIN X L,LI X L,et al.Multi-robot collaborative obstacle avoidance based on artificial potential field method[J].Computer Science,2020,47(11):220-225. [116] 刘凯,王明孝,吴超辉,等.三维环境中多机器人协同路径规划算法[J].测绘科学技术学报,2020,37(2):197-202. LIU K,WANG M X,WU C H,et al.Multi-robot collaborative path planning algorithm in 3D environment[J].Journal of Geomatics Science and Technology,2020,37(2):197-202. [117] 王伟嘉,郑雅婷,林国政,等.集群机器人研究综述[J].机器人,2020,42(2):232-256. WANG W J,ZHENG Y T,LIN G Z,et al.Swarm robotics:a review[J].Robot,2020,42(2):232-256. [118] LIN H Y,HUANG Y C.Collaborative complete coverage and path planning for multi-robot exploration[J].Sensors,2021,21(11):3709. [119] LI J N,WU J,LI J H,et al.Blockchain-based trust edge knowledge inference of multi-robot systems for collaborative tasks[J].IEEE Communications Magazine,2021,59(7):94-100. [120] TURANLI M,TEMELTAS H.Multi-robot energy-efficient coverage control with hopfield networks[J].Studies in Informatics and Control,2020,29(2):179-188. [121] DAI W,LIU Y R,LU H M,et al.Shared control based on a brain-computer interface for human-multirobot cooperation[J].IEEE Robotics and Automation Letters,2021,6(3):6123-6130. [122] GAO H B,LU S Y,WANG T.Motion path planning of 6-DOF industrial robot based on fuzzy control algorithm[J].Journal of Intelligent and Fuzzy Systems,2020,38(4):3773-3782. [123] QIU S Y,LODDER D,DU F F.HGG-CNN:the generation of the optimal robotic grasp pose based on vision[J].Intelligent Automation and Soft Computing,2020,26(6):1517-1529. [124] 陈友东,郭佳鑫,陶永.基于高斯过程的机器人自适应抓取策略[J].北京航空航天大学学报,2017,43(9):1738-1745. CHEN Y D,GUO J X,TAO Y.Adaptive grasping strategy of robot on Gaussian process[J].Journal of Beijing University of Aeronautics and Astronautics,2017,43(9):1738-1745. [125] 曹学鹏,包翔宇,张弓,等.基于模糊自适应和优化阻抗的双机器人力/位主从协同控制方法[J].工程科学与技术,2020,52(4):226-234. CAO X P,BAO X Y,ZHANG G,et al.Force/position master-slave cooperative control for dual robots based on fuzzy and optimized bacterial foraging algorithms[J].Advanced Engineering Sciences,2020,52(4):226-234. [126] 张品,李长勇.基于改进模糊PID的全向搬运机器人路径跟踪控制研究[J].食品与机械,2021,37(6):114-119. ZHANG P,LI C Y.Research on omnidirectional handling robot path tracking control based on improved fuzzy PID[J].Food & Machinery,2021,37(6):114-119. [127] 梁娟,赵开新,陈伟.自适应神经模糊推理结合PID控制的并联机器人控制方法[J].计算机应用研究,2016,33(12):3586-3590. LIANG J,ZHAO K X,CHEN W.Parallel manipulator control method based on adaptive network fuzzy inference system and PID control[J].Application Research of Computers,2016,33(12):3586-3590. [128] 李顺利,孟德远,杨林,等.气动肌肉驱动关节轨迹跟踪的自适应鲁棒控制[J].哈尔滨工业大学学报,2021,53(7):134-143. LI S L,MENG D Y,YANG L,et al.Adaptive robust trajectory tracking control for the pneumatic muscle actuated joint[J].Journal of Harbin Institute of Technology,2021,53(7):134-143. [129] 邱小璐,蔡志勤,刘忠振,等.空间连续型机器人自适应鲁棒容错控制[J].计算力学学报,2021,38(1):46-50. QIU X L,CAI Z Q,LIU Z Z,et al.Adaptive robust fault tolerant control of a space continuum robot[J].Chinese Journal of Computational Mechanics,2021,38(1):46-50. [130] 赫建立,朱龙英,成磊,等.基于动态模糊神经网络的并联机器人鲁棒复合控制研究[J].制造业自动化,2015,37(7):63-67. HE J L,ZHU L Y,CHENG L,et al.Robust composite control of parallel robots based on dynamic fuzzy neural network[J].Manufacturing Automation,2015,37(7):63-67. [131] 杨金鹏.基于MEA-BP神经网络的6DOF工业机器人逆运动学研究[J].机床与液压,2021,49(11):57-60. YANG J P.Inverse kinematics study of 6DOF industrial robot based on MEA-BP neural network[J].Machine Tool and Hydraulic,2021,49(11):57-60. [132] 贺苗,吴晓敏,邵桂芳,等.基于RBFNN的机器人关节摩擦建模与补偿研究[J].仪器仪表学报,2020,41(11):278-284. HE M,WU X M,SHAO G F,et al.Research on friction modeling and compensation of robot joint based on RBFNN[J].Chinese Journal of Scientific Instrument,2020,41(11):278-284. [133] 尹奇辉,李捷,梁志鹏,等.基于模糊神经网络PID的机器人路径跟踪控制[J].中国农机化学报,2020,41(5):182-187. YIN Q H,LI J,LIANG Z P,et al.Path tracking control system of robot based on fuzzy neural network-PID[J].Journal of Chinese Agricultural Mechanization,2020,41(5):182-187. [134] TRUC L N,LAM N T.Quasi-physical modeling of robot IRB 120 using Simscape multi-body for dynamic and control simulation[J].Turkish Journal of Electrical Engineering and Computer Sciences,2020,28(4):1949-1964. [135] CHEN Y H,LUO X,HAN B L,et al.Model predictive control with integral compensation for motion control of robot manipulator in joint and task spaces[J].IEEE Access,2020,8:107063-107075. [136] YILMAZ B M,TATLICIOUGLU E,SAVRAN A,et al.Adaptive fuzzy logic with self-tuned membership functions based repetitive learning control of robotic manipulators[J].Applied Soft Computing,2021,104:107183. [137] WANG J Y,ZHU Y G,QI R L,et al.Adaptive PID control of multi-DOF industrial robot based on neural network[J].Journal of Ambient Intelligence and Humanized Computing,2020,11(12):6249-6260. [138] PAN L,GAO T,XU F,et al.Enhanced robust motion tracking control for 6 degree-of-freedom industrial assembly robot with disturbance adaption[J].International Journal of Control Automation and Systems,2018,16(2):921-928. [139] YIN X X,PAN L.Enhancing trajectory tracking accuracy for industrial robot with robust adaptive control[J].Robotics and Computer Integrated Manufacturing,2018,51:97-102. [140] CARLUCHO I,DE PAULA M,ACOSTA G G.An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots[J].ISA Transactions,2020,102:280-294. [141] SHAO S F,ZHANG K S.RISE-adaptive neural control for robotic manipulators with unknown disturbances[J].IEEE Access,2020,8:97729-97736. [142] OZYER B.Adaptive fast sliding neural control for robot manipulator[J].Turkish Journal of Electrical Engineering and Computer Sciences,2020,28(6):3154-3167. [143] 张轲,谢妤,朱晓鹏.工业机器人编程技术及发展趋势[J].金属加工(热加工),2015(12):16-19. ZHANG K,XIE Y,ZHU X P.Industrial robot programming technology and development trend[J].MW Metal Forming,2015(12):16-19. [144] CASTRO A L,SOUZA J,ROCHA L F,et al.AdaptPack studio:an automated intelligent framework for offline factory programming[J].Industrial Robot,2020,47(5):697-704. [145] KACZMAREK W,LOTYS B,BORYS S,et al.Controlling an industrial robot using a graphic tablet in offline and online mode[J].Sensors,2021,21(7):2439. [146] 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,2019,61:101820. [147] 殷聪聪,张秋菊.机器人演示学习编程技术研究综述[J].计算机科学与探索,2020,14(8):1275-1287. YIN C C,ZHANG Q J.Review of researchon robot programming by learning from demonstration[J].Journal of Frontiers of Computer Science and Technology,2020,14(8):1275-1287. [148] 朱云,凌志刚,张雨强.机器视觉技术研究进展及展望[J].图学学报,2020,41(6):871-890. ZHU Y,LING Z G,ZHANG Y Q.Research progress and prospect of machine vision technology[J].Journal of Graphics,2020,41(6):871-890. [149] 刘欢庆,苏宇锋,高建设,等.基于SolidWorks的涂胶机器人离线编程系统[J].组合机床与自动化加工技术,2020(8):88-91. LIU H Q,SU Y F,GAO J S,et al.Off-line programming system for gluing robot based on SolidWorks[J].Modular Machine Tool & Automatic Manufacturing Technique,2020(8):88-91. [150] 赵安安,张程,郭峰,等.基于DELMIA的机器人制孔离线编程系统开发[J].计算机应用,2020,40(S2):112-116. ZHAO A A,ZHANG C,GUO F,et al.Development of off-line programming system for robot drilling based on DELMIA[J].Journal of Computer Applications,2020,40(S2):112-116. [151] 周方明,蒋尊宇,陈琪昊,等.基于激光视觉的焊接机器人离线自动编程技术[J].江苏科技大学学报(自然科学版),2021,35(3):37-41. ZHOU F M,JIANG Z Y,CHEN Q H,et al.Off-line automatic programming technology of welding robot based on laser vision[J].Journal of Jiangsu University of Science and Technology(Natural Science Edition),2021,35(3):37-41. [152] 付泽民,王佳炜,张锁怀.基于机器视觉的机器人辅助折弯离线自动编程系统的研究[J].制造技术与机床,2018(1):51-56. FU Z M,WANG J W,ZHANG S H.Research of robot aided bending off-line automatic programming system based on machine vision[J].Manufacturing Technology & Machine Tool,2018(1):51-56. [153] HONG L,WANG B S,XU Z Q,et al.Research on off-line programming method of spatial intersection curve welding based on VTK[J].The International Journal of Advanced Manufacturing Technology,2020,106(5/6):1587-1599. [154] CARRIERE G,BENOUSSAAD M,WAGNE V,et al.Off-line correction method suitable for a machining robot application to composite materials[J].The International Journal of Advanced Manufacturing Technology,2020,110(9/10):2361-2375. [155] XIAO H,MUTHU B,KADRY S N.Artificial intelligence with robotics for advanced manufacturing industry using robot-assisted mixed-integer programming model[J].Intelligent Service Robotics,2020. [156] 谭文君,董桂才,张斌儒.我国工业机器人行业的发展现状及启示[J].宏观经济管理,2018(4):42-47. TAN W J,DONG G C,ZHANG B R.The present situation and revelation of the Chinese industrial robot industry[J].Macroeconomic Management,2018(4):42-47. [157] 杨旭东,葛庆宽,彭弢,等.异型烟全自动码垛及包装流水线的研究与应用[J].机械设计与制造,2019(10):154-157. YANG X D,GE Q K,PENG T,et al.Research and application of fully automatic shaped smoke palletizing and packaging line[J].Machinery Design & Manufacture,2019(10):154-157. [158] 王世敏.基于PLC的全自动饲料码垛机器人的设计及应用研究[J].饲料工业,2015,36(7):8-11. WANG S M.Research on the design and application of the automatic feed palletizing robot based on PLC[J].Feed Industry,2015,36(7):8-11. [159] 孙立宁,许辉,王振华,等.工业机器人智能化应用关键共性技术综述[J].振动.测试与诊断,2021,41(2):211-219. SUN L N,XU H,WANG Z H,et al.Review on key common technologies for intelligent applications of industrial robots[J].Journal of Vibration,Measurement & Diagnosis,2021,41(2):211-219. [160] 高峰,郭为忠.中国机器人的发展战略思考[J].机械工程学报,2016,52(7):1-5. GAO F,GUO W Z.Thinking of the development strategy of robots in china[J].Journal of Mechanical Engineering,2016,52(7):1-5. |
[1] | 张宸嘉,朱磊,俞璐. 卷积神经网络中的注意力机制综述[J]. 计算机工程与应用, 2021, 57(20): 64-72. |
[2] | 段凤华,何小年,孙彦彬. 近年来库存路径问题研究动态及展望[J]. 计算机工程与应用, 2012, 48(4): 240-243. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||