Coupling planning control algorithm of redundant manipulator

被引：0
|
作者：
Sui D. [1 ]
Xie L. [1 ]
Li L. [1 ]
Wang S. [1 ]
Wang Z. [1 ]
机构：
[1] School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Coupling planning control algorithm; Dynamical movement primitives; Interaction; Redundant manipulator;
D O I：
10.13196/j.cims.2019.12.024
中图分类号：
学科分类号：
摘要：
Due to the problem of several times changing the desired end pose, long time path planning in redundant manipulator and the operation blocking, a novel coupling path planning algorithm with inverse kinematics, planning and control was proposed in an interactive environment. For the inverse kinematics of redundant freedom, a random factor was added to the positive and negative values of four joints, and the existence space of the analytical solution was expanded, which could improve 40.71% in working efficiency. The operation blocking in the working process was decreased based on Dynamical Movement Primitives (DMP). Through combining Descartes planner with improved inverse solver, the planning tasks was performed and the receiving working instruction was actuated synchronously. The proposed coupling path planning had applied to human-computer interaction system for physical testing, which saved 48.25% in working time comparing with the commonly algorithm of sequential alternating planning control under ROS simulation system. The maximum speed of joint execution was significantly increased, and the physical operation was smoother. © 2019, Editorial Department of CIMS. All right reserved.
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页码：3226 / 3234
页数：8
相关论文
共 35 条
  • [1] Alambeigi F., Sefati S., Armand M., A convex optimization framework for constrained concurrent motion control of a hybrid redundant surgical system, Proceedings of 2018 Annual American Control Conference(ACC), (2018)
  • [2] Liang X., Kinematic analysis and trajectory tracking control of redundancy hydraulic manipulator for rescue robot, (2018)
  • [3] Heyer C., Human-robot interaction and future industrial robotics applications, Proceedings of 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, (2010)
  • [4] Cruz-Benito J., Garcia-Penalvo F.J., Theron R., Analyzing the software architectures supporting HCI/HMI processes through a systematic review of the literature, Telematics and Informatics, 38, 5, pp. 118-132, (2019)
  • [5] Khasnobish A., Datta S., Sardar D., Et al., Interfacing robotic tactile sensation with human vibrotactile perception for digit recognition, Robotics and Autonomous Systems, 71, 9, pp. 166-179, (2015)
  • [6] Karami A., Sadeghian H., Keshmiri M., Et al., Force, orientation and position control in redundant manipulators in prioritized scheme with null space compliance, Control Engineering Practice, 85, pp. 23-33, (2019)
  • [7] Hollerbach J., Suh K., Redundancy resolution of manipulators through torque optimization, IEEE Journal on Robotics and Automation, 3, 4, pp. 308-316, (1987)
  • [8] Kwok K.W., Tsoi K.H., Vitiello V., Et al., Dimensionality reduction in controlling articulated snake robot for endoscopy under dynamic active constraints, IEEE Transactions on Robotics, 29, 1, pp. 15-31, (2013)
  • [9] Woolfrey J., Lu W., Liu D., A control method for joint torque minimization of redundant manipulators handling large external forces, Journal of Intelligent & Robotic Systems, 96, 10, pp. 1-14, (2019)
  • [10] Karami A., Sadeghian H., Keshmiri M., Et al., Force, orientation and position control in redundant manipulators in prioritized scheme with null space compliance, Control Engineering Practice, 85, 4, pp. 23-33, (2019)
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