Citation: | Yao Haifeng, . Study on numerical solution of wrist offset Pieper robot for mining with prismatic link based on new method[J]. Journal of Mining Science and Technology, 2020, 5(6): 672-680. doi: 10.19606/j.cnki.jmst.2020.06.010 |
[1] |
Meier H,Laurischkat R,Bertsch C,et al. Prediction of path deviation in robot based incremental sheet metal forming by means of an integrated finite element multi body system model [J]. Key Engineering Materials,2009,410/411:365-372
|
[2] |
蔡自兴,谢斌机器人学[M]. 北京:清华大学出版社,2015
|
[3] |
Meier H,Buff B,Laurischkat R,et al. Increasing the part accuracy in dieless robotbased incremental sheet metal forming [J]. Cirp Annalsmanufacturing Technology,2009,58(1):233-238
|
[4] |
戴建生机构学与机器人学的几何基础与旋量代数[M]. 北京:高等教育出版社,2014
|
[5] |
Selig J M机器人学的几何基础[M]. 杨向东,译北京:清华大学出版社,2014
|
[6] |
Paul R PRobot manipulator:Mathematics,programm ings and control[M]. Cambridge:MIT Press,1981
|
[7] |
Paul R P,Shimnao B,Mayer E GDifferential kinematic control equations for simple manipulators[J]. IEEE Transactions on Systems,Man,and Cybernetics,1981,11(6): 456-460
|
[8] |
Paul R P,Zhang HInverse kinematics for a PUMA 560 based on the equations[J]. The International Journal of Robotics Research,1986,5(2):32-44
|
[9] |
克雷格 约翰机器人学导论[M]. 贠超,译北京:机械工业出版社,2018
|
[10] |
斯庞 马克 W,哈钦森 赛斯,维德雅瑟格 M机器人建模与控制[M]. 贾振中,译北京:机械工业出版社,2016
|
[11] |
Niku Saeed B机器人学导论——分析、控制及应用[M]. 孙富春,朱纪洪,刘国栋,译北京:电子工业出版社,2018
|
[12] |
Saha S KIntroduction to robotics[M]. Beijing:China Machine Press,2009
|
[13] |
Jazar Reza N应用机器人学:运动学、动力学与控制技术[M]. 周高峰,译北京:机械工业出版社,2013
|
[14] |
刘志忠,柳洪义,罗忠,等基于偏置补偿的6自由度腕部偏置机器人逆解算法[J]. 东北大学学报:自然科学版,2012,33(1):870-871
|
[15] |
Liu Zhizhong,Liu Hongyi,Luo Zhong,et al. Inverse kinematics algorithm for 6-DOF robots with offset wrist based on offset compensation[J]. Journal of Northeastern University:Natural Science,2012,33(1):870-871
|
[16] |
Kucuk S,Bingul ZThe inverse kinematics solutions of fundamental robot manipulators with offset wrist[C]∥ Proceedings of the 2005 IEEE International Conference on MechatronicsPiscataway :IEEE,2005:197-202
|
[17] |
Bingul Z,Ertunc H M,Oysu CComparison of inverse kinematics solutions using neural network for 6R robot manipulator with offset[C]∥ Proceedings of the 2005 ICSC Congress on Computational Intelligence Methods and ApplicationsPiscataway :IEEE,2005:251-255
|
[18] |
黄开启,陈荣华,丁问司凿岩机器人钻臂定位控制交叉精英反向粒子群算法[J]. 控制理论与应用,2017,34(3):303-311
|
[19] |
Huang Kaiqi,Chen Ronghua,Ding WensiCrossover elite oppositionbased particle swarm optimization algorithm for positioning control of rock drilling robotic drilling arm [J]. Control Theory & Applications,2017,34(3):303-311
|
[20] |
Geethamani G S,Mayilvaganan MAnalysis of genetic crossover techniques based on roulette wheel selection algorithm and steady state selection algorithm [J]. International Journal of Engineering and Computer Science,2016,5(1):15428-15431
|
[21] |
黄开启,魏文彬,陈荣华,等凿岩机器人钻臂定位误差补偿控制交叉精英反向粒子群优化算法[J]. 机械科学与技术,2018,37(1):1005-1007
|
[22] |
Huang Kaiqi,Wei Wenbin,Chen Ronghua,et al. CEOPSO algorithm for positioning error compensation control of rock drilling robotic drilling arm[J]. Mechanical Science and Technology for Aerospace Engineering,2018,37(1):1005-1007
|
[23] |
Bruno Siciliano,Lorenzo Sciavicco,Luigi Villani,et al. 机器人学建模、规划与控制[M]. 张国良,曾静,陈励华,译西安:西安交通大学出版社,2015
|
[24] |
薛光辉,程继杰,管健,等深部综掘巷道机器人化超前支护方案与最佳支护时机研究[J]. 矿业科学学报,2019,4(4):349-356
|
[25] |
Xue Guanghui,Cheng Jijie,Guan Jian,et al. Robotized advance support scheme and optimum support opportunity for deep fully mechanized roadway [J]. Journal of Mining Science and Technology,2019,4(4):349-356
|
[26] |
杨健健,唐至威,刘强,等基于变迁记忆的无人化掘进机故障Petri网研究[J]. 矿业科学学报,2017,2(1):58-65
|
[27] |
Yang Jianjian,Tang Zhiwei,Liu Qiang,et al. Study on the fault Petri nets of the unmanned roadheader based on the transition memory [J]. Journal of Mining Science and Technology,2017,2(1):58-65
|
[28] |
瞿圆媛,宋林珂,吉晓冬,等井下掘进机行进纠偏调度规划与控制研究[ J]. 矿业科学学报,2020,5(2):194-202
|
[29] |
Qu Yuanyuan,Song Linke,Ji Xiaodong,et al. Study on path planning and tracking of the underground mining roadheader [J]. Journal of Mining Science and Technology,2020,5(2):194-202
|