Error Analysis and Compensation Method of 6-axis Industrial Robot

[1]Liu Zhenyu, Chen Yinglin, Qu Dao kui, et al. “Research on robot calibration”[J] . Robot , 2002, 24( 5) :447-450. Search in Google Scholar

[2]Wang dong. “Research on industrial robot calibration technology” [D]. Shenyang: northeast university press, 2006. Search in Google Scholar

[3]RenYongJie, Zhu, Yang Xueyou etc. “Robot calibration method using laser tracker” [J]. Journal of mechanical engineering, 2007, 43 (9):195-200.10.3901/JME.2007.09.195 Search in Google Scholar

[4]Cai Zixing. “Robotics”. Tsinghua university press. 2009. Search in Google Scholar

[5]Xia Tian. “Industrial robot kinematics calibration and error analysis” [D]. Shanghai: Shanghai jiaotong university, 2009. Search in Google Scholar

[6]Jiao Guotai, LiQing, etc. “Comprehensive compensation of robot’s pose error” [J]. Journal of north China, 2003, 24(2):104-107. Search in Google Scholar

[7]Gong Xingru,ShenJianXin, etc. “Industrial robot’s positioning error model and its compensation algorithm” [J]. Journal of nanjing university of aeronautics and astronautics, 2012, 44(1):61-64. Search in Google Scholar

[8]Ziegert J, Datseris p. “Basic Consideration for Robot Calibration” [C]. IEEE Inter national Conference on Robotics and Automation, Philadelphia, 1988, 932-938. Search in Google Scholar

[9]Wang Yi, RenYongJie etc. “Compensation technology of measuring robot’s online dynamic temperature error” [J]. Journal of optoelectronic. Laser, 2009, 16 (4) : 492-494. Search in Google Scholar

[10]Zhou Xuecai, Zheng Xuexiong. “The compensation algorithm of robot’s dynamic pose error in the work space.” Robots, 1989, 51(3):38-42 Search in Google Scholar

[11]Biqiang Du, Ning Xi, “Industrial Robot Calibration Using a Virtual Linear Constraint”, International Journal on Smart Sensing and Intelligent Systems,2012,5(4):987-1000.10.21307/ijssis-2017-519 Search in Google Scholar

[12]Wang Dongshu, Chi Jiannan, etc. “Genetic neural network and its application in robot error compensation” [J]. Journal of northeastern university (natural science edition), 2006, 27 (1):13-16. Search in Google Scholar

[13]Zheng LI. “Neural Network Based Multisensor Fusion in a Novel Permanent Magnet Multi-DOF Actuator Orientation Detection System”. International Journal on Smart Sensing and Intelligent Systems,2012,5(4):911-926.10.21307/ijssis-2017-514Search in Google Scholar