A Novel Teaching System for Industrial Robots

被引:17
|
作者
Lin, Hsien-I [1 ]
Lin, Yu-Hsiang [1 ]
机构
[1] Natl Taipei Univ Technol, Grad Inst Automat Technol, Taipei 106, Taiwan
来源
SENSORS | 2014年 / 14卷 / 04期
关键词
industrial robotic arm; teach pendant; teaching system; Fitts' Law; DEVICE;
D O I
10.3390/s140406012
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The most important tool for controlling an industrial robotic arm is a teach pendant, which controls the robotic arm movement in work spaces and accomplishes teaching tasks. A good teaching tool should be easy to operate and can complete teaching tasks rapidly and effortlessly. In this study, a new teaching system is proposed for enabling users to operate robotic arms and accomplish teaching tasks easily. The proposed teaching system consists of the teach pen, optical markers on the pen, a motion capture system, and the pen tip estimation algorithm. With the marker positions captured by the motion capture system, the pose of the teach pen is accurately calculated by the pen tip algorithm and used to control the robot tool frame. In addition, Fitts' Law is adopted to verify the usefulness of this new system, and the results show that the system provides high accuracy, excellent operation performance, and a stable error rate. In addition, the system maintains superior performance, even when users work on platforms with different inclination angles.
引用
收藏
页码:6012 / 6031
页数:20
相关论文
共 50 条
  • [2] Design of Teaching System of Industrial Robots Using Mixed Reality Technology
    Li, Guwei
    Yang, Yun
    Li, Zhou
    Fan, Jingchun
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 73 (01): : 1317 - 1327
  • [3] Human friendly teaching for industrial robots
    Tatsuno, J
    Matsuyama, S
    Kokubo, Y
    Kawabata, K
    Kobayashi, H
    RO-MAN '96 - 5TH IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN COMMUNICATION, PROCEEDINGS, 1996, : 549 - 550
  • [4] A centralized tele-teaching system for industrial robots using virtual reality
    Cui, MY
    Dong, ZL
    Tian, YT
    2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS, 2003, : 943 - 949
  • [5] DEVELOPMENT OF A SOFTWARE SYSTEM FOR INDUSTRIAL ROBOTS
    MOTIWALLA, S
    MECHANICAL ENGINEERING, 1982, 104 (08) : 36 - 39
  • [6] System of Balancing for Industrial Robots.
    Leistner, F.
    Baetge, J.
    Soldatkin, E.P.
    Novikov, W.
    Maschinenbautechnik, 1988, 37 (05): : 196 - 198
  • [7] Cognitive Supervision System for Industrial Robots
    Soeroes, Gabor
    Resko, Barna
    Baranyi, Peter
    HSI: 2009 2ND CONFERENCE ON HUMAN SYSTEM INTERACTIONS, 2009, : 413 - 417
  • [8] A novel teaching and training system for industrial applications based on augmented reality
    Young, Kuu-Young
    Cheng, Shu-Ling
    Ko, Chun-Hsu
    Su, Yu-Hsuan
    Liu, Qiao-Fei
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2020, 43 (08) : 796 - 806
  • [9] A novel shared control algorithm for industrial robots
    Ramacciotti, Marco
    Milazzo, Mario
    Leoni, Fabio
    Roccella, Stefano
    Stefanini, Cesare
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2016, 13 : 1 - 10
  • [10] Teaching Robots Novel Objects by Pointing at Them
    Venkatesh, Sagar Gubbi
    Upadrashta, Raviteja
    Kolathaya, Shishir
    Amrutur, Bharadwaj
    2020 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2020, : 1101 - 1106