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作者:

Gong, Daoxiong (Gong, Daoxiong.) | Wang, Yu (Wang, Yu.) | Yu, Jianjun (Yu, Jianjun.) | Zuo, Guoyu (Zuo, Guoyu.) (学者:左国玉)

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EI

摘要:

In this paper, we propose a motion mapping approach for intuitive teleoperation from human master arm to a heterogeneous slave robot manipulator with excavator-like arm and a wrist with three axes intersecting at one point. With the motion data of the human master arm captured via a wearable motion capture system, we first set up two spherical coordinate systems on the shoulder and the wrist joints of the master arm, and accordingly two spherical coordinate systems on the first joint and the intersection point of the wrist joint axes of the slave robot arm, respectively; then, we normalize the position of the master wrist joint in the shoulder spherical coordinate system and the orientation of the master hand in the wrist spherical coordinate system; finally, we map the normalized human motion into the according spherical coordinate systems of the slave robot arm. Simulation results validated that the mapping between the pair of shoulder coordinate systems achieve the intuitive position control of the slave arm, and the mapping between the pair of wrist coordinate systems achieve the same orientation between the master hand and the robotic end-effector. With our approach, a tele-operator may control the motion of the heterogeneous slave robot easily and intuitively via the motion of his arm. The training time, fatigue degree and error rate of the tele-operator will be significantly reduced, and the safety and efficiency of the tele-operation robotic system will be significantly improved. © 2019 IEEE.

关键词:

Agricultural robots Construction equipment Educational robots End effectors Excavation Excavators Manipulators Mapping Personnel training Position control Remote control Robot applications Robotic arms Robotics Social robots Spheres

作者机构:

  • [ 1 ] [Gong, Daoxiong]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Chaoyang District, Beijing; 100124, China
  • [ 2 ] [Wang, Yu]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Chaoyang District, Beijing; 100124, China
  • [ 3 ] [Yu, Jianjun]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Chaoyang District, Beijing; 100124, China
  • [ 4 ] [Zuo, Guoyu]Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Chaoyang District, Beijing; 100124, China

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年份: 2019

页码: 493-498

语种: 英文

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SCOPUS被引频次: 8

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