A motion planning method for omni-directional mobile robot based on the anisotropic characteristics

被引:0
作者
Research Institute of Robotics, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, 200240, China [1 ]
不详 [2 ]
机构
[1] Research Institute of Robotics, Shanghai Jiaotong University, Shanghai, 200240
[2] State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai, 200240
来源
Int. J. Adv. Rob. Syst. | 2008年 / 4卷 / 327-340期
关键词
Anisotropic-function; Artificial potential field; Motion planning; Omni-directional mobile robot; Revolving factor;
D O I
10.5772/6228
中图分类号
学科分类号
摘要
A more suitable motion planning method for an omni-directional mobile robot (OMR), an improved APF method (iAPF), is proposed in this paper by introducing the revolving factor into the artificial potential field (APF). Accordingly, the motion direction derived from traditional artificial potential field (tAPF) is regulated. The maximum velocity, maximum acceleration and energy consumption of the OMR moving in different directions are analyzed, based on the kinematic and dynamic constraints of an OMR, and the anisotropy of OMR is presented in this paper. Then the novel concept of an Anisotropic-Function is proposed to indicate the quality of motion in different directions, which can make a very favorable trade-off between time-optimality, stability and efficacy-optimality. In order to obtain the optimal motion, the path that the robot can take in order to avoid the obstacle safely and reach the goal in a shorter path is deduced. Finally, simulations and experiments are carried out to demonstrate that the motion resulting from the iAPF is high-speed, highly stable and highly efficient when compared to the tAPF.
引用
收藏
页码:327 / 340
页数:13
相关论文
共 50 条
  • [31] Direct Adaptive Control Based on Improved RBF Neural Network for Omni-directional Mobile Robot
    Fan Jinhui
    Jia Songmin
    Li Xiuzhi
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHATRONICS, ELECTRONIC, INDUSTRIAL AND CONTROL ENGINEERING, 2015, 8 : 1108 - 1112
  • [32] The tracking control design of adaptive fuzzy CMAC for an omni-directional mobile robot
    Wu T.-F.
    Huang H.-C.
    Tsai P.-S.
    Hu N.-T.
    Yang Z.-Q.
    Wu, Ter-Feng (tfwu@niu.edu.tw), 1600, Computer Society of the Republic of China (28): : 247 - 260
  • [33] Locomotion Strategies for an Omni-Directional Mobile Robot Using Traveling Waves Propagation
    Nakamura, Taro
    Sato, Kuniaki
    2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, : 3769 - 3774
  • [34] Mechanical Design and Control System of an Omni-directional Mobile Robot for Material Conveying
    Peng, Tianran
    Qian, Jun
    Zi, Bin
    Liu, Jiakui
    Wang, Xingwei
    9TH INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY - INTELLIGENT MANUFACTURING IN THE KNOWLEDGE ECONOMY ERA, 2016, 56 : 412 - 415
  • [35] Motions on steps and slopes of omni-directional mobile robot "VmaxCarrier2"
    Tadakuma, K
    Tadakuma, R
    Hirose, S
    2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Vols 1-4, 2005, : 2700 - 2707
  • [36] The Design and Development of an Omni-Directional Mobile Robot Oriented to an Intelligent Manufacturing System
    Qian, Jun
    Zi, Bin
    Wang, Daoming
    Ma, Yangang
    Zhang, Dan
    SENSORS, 2017, 17 (09)
  • [37] Implementation of Obstacle-Avoidance Control for an Autonomous Omni-Directional Mobile Robot Based on Extension Theory
    Pai, Neng-Sheng
    Hsieh, Hung-Hui
    Lai, Yi-Chung
    SENSORS, 2012, 12 (10): : 13947 - 13963
  • [38] Steering control algorithm for efficient drive of a mobile robot with steerable omni-directional wheels
    Song, Jae-Bok
    Byun, Kyung-Seok
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2009, 23 (10) : 2747 - 2756
  • [39] A new proposal for localization of omni-directional mobile robot by DM tag in indoor environment
    Xu, Baolai
    Zhou, Xuefeng
    Cheng, Taobo
    Su, Zerong
    Wu, Junjun
    2017 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) AND IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS (RAM), 2017, : 140 - 145
  • [40] An amendatory dynamic model with slip for four-wheeled omni-directional mobile robot
    Cao Qixin
    Huang Yanwen
    Leng Chuntao
    ICMIT 2007: MECHATRONICS, MEMS, AND SMART MATERIALS, PTS 1 AND 2, 2008, 6794