Positioning accuracy analysis and error compensation of medical robot assisted for mandible reconstruction surgery

被引:0
|
作者
Kong X.-Z. [1 ]
Duan X.-G. [1 ]
Wang Y.-G. [1 ]
Zhao H.-H. [2 ]
Guo C.-B. [3 ]
机构
[1] Intelligent Robotics Institute, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing
[2] College of Mechanical Engineering, University of Jinan, Jinan, 250022, Shandong
[3] Peking University of Stomatology, Beijing
关键词
Medical robot; Positioning accuracy; Target mapping error; Zero position error;
D O I
10.15918/j.tbit1001-0645.2016.12.008
中图分类号
学科分类号
摘要
In order to improve the accuracy of the mandible reconstruction robot, the positioning accuracy and error compensation was studied using NDI Polaris based on analysis of surgery procedure. The kinematics parameters were identified based on a revised D-H kinematics model, taking small distortions of the joint axes and link parameter into consideration. Joint transmission error and zero position error were compensated with experiments. Absolute positioning accuracy of the robot was measured using an accurate NDI Polaris measure device according to the model. The experiment results show that the maximum value and the mean value of the absolute positioning accuracy are much better than the previous values after compensating the errors caused by link parameter, transmission and zero position. The method can be widely used in series robot error compensation. © 2016, Editorial Department of Transaction of Beijing Institute of Technology. All right reserved.
引用
收藏
页码:1248 / 1252and1258
相关论文
共 12 条
  • [1] Hassfeld S., Muhling J., Computer assisted oral and maxillofacial surgery-a review and an assessment of technology, International Journal of Oral and Maxillofacial Surgery, 30, 1, pp. 2-13, (2001)
  • [2] Foley B.D., Thayer W.P., Honeybrook A., Et al., Mandibular reconstruction using computer-aided design and computer-aided manufacturing: an analysis of surgical results, Journal of Oral and Maxillofacial Surgery, 71, 2, pp. e111-e119, (2013)
  • [3] Du Z., Sun L., Fu L., An overview of medical robots, Robot, 25, 2, pp. 182-187, (2003)
  • [4] Pavlikova G., Folta N.R., Horka M., Et al., Piezosurgery in oral and maxillofacial surgery, International Journal of Oral and Maxillofacial Surgery, 40, 5, pp. 451-457, (2011)
  • [5] De Ceulaer J., De Clercq C., Swennen G.R.J., Robotic surgery in oral and maxillofacial, craniofacial and head and neck surgery: a systematic review of the literature, International Journal of Oral and Maxillofacial Surgery, 41, 11, pp. 1311-1324, (2012)
  • [6] Borumandi F., Heliotis M., Kerawala C., Et al., Role of robotic surgery in oral and maxillofacial, and head and neck surgery, British Journal of Oral and Maxillofacial Surgery, 50, 5, pp. 389-393, (2012)
  • [7] Hultman E., Leijon M., Six-degrees-of-freedom (6-dof) work object positional calibration using a robot-held proximity sensor, Machines, 1, 2, pp. 63-80, (2013)
  • [8] Kim J., Jung K., Positioning accuracy improvement of laser navigation using unscented Kalman filter, Intelligent Autonomous Systems 12, pp. 807-816, (2013)
  • [9] Syed A.A., Duan X., Kong X., Et al., Maxillofacial surgical robotic manipulator controlled by haptic device with force feedback, Proceedings of Complex Medical Engineering (CME), 2013 ICME International Conference on IEEE, pp. 363-368, (2013)
  • [10] Ding H., Huang Z., Liu Y., Et al., A random error analysis method for serial robot, Transactions of Beijing Institute of Technology, 3, 9, pp. 892-896, (2014)