The Gait Planning Theory and Technology Research on the Wheel-foot Multi-joint Mobile Robot

被引:0
|
作者
Zhang Yeqing [1 ]
Luo Qingsheng
Wang Meiling [1 ]
Wu Fan
Wu Di
机构
[1] Beijing Inst Technol, Key Lab Intelligent Control & Decis Complex Syst, Beijing 100081, Peoples R China
来源
26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC) | 2014年
关键词
mechanical structure; kinematical formulas; workspace of feet; walking gaits; prototype test;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the excellent mechanical structure of the wheel-foot multi-joint mobile robot, we have strictly deduced the direct and inverse kinematical formulas of the robot's legs. So the theoretical method and technology of gaits control for the wheel-foot multi-joint mobile robot have been explored out. By precisely analyzing the obstacle performance and the workspace of the robot's feet, the constraints and efficiency of the robot have been illustrated clearly. After studying the features of various gaits, we also have designed four kinds of specific gaits for the wheel-foot multi-joint mobile robot, including the swing forward gait, the crab-lateral gait, the bent-knee forward gait and the wheel-turn gait, to verify the mobile ability and control effects of the robot. Then we research most fully on the control features, the attitudes of legs, the simulation effects and the fluctuation of the robot's body when walking with these four kinds of gaits, in order to fully understand the performance of the robot. The results of simulations and actual prototype tests have proved that the wheel-foot multi-joint mobile robot, with special mechanical structure and reasonable gaits planning, can move fast and steadily with versatile gaits in various complex terrains. The effectiveness of the theoretical exploration and the technical implementation has been fully proved in this paper.
引用
收藏
页码:5086 / 5091
页数:6
相关论文
共 29 条
  • [21] Research on Path Planning Method of Multi Mobile Robot in Dynamic Environment
    Zu, Linan
    Chen, Lingling
    Liu, Zuojun
    Yang, Peng
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 8286 - 8291
  • [22] Research on Path Planning and Motion Control Technology for Mobile Robot Doing Inspection
    Che, Hongjuan
    Gao, Xueshan
    Zhao, Peng
    Ye, Junjie
    Hao, Liangchao
    Niu, Jundao
    PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2022), 2022, : 1581 - 1586
  • [23] Research on Path Planning Technology of Mobile Robot Based on Visual Obstacle Avoidance
    Luo, Zai
    Chen, Yiwen
    Jiang, Wensong
    Hu, Xiaofeng
    Yang, Li
    Bao, Jian
    TENTH INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENTS, 2021, 12059
  • [24] Development status and key technology analysis for motion planning of wheel-legged hybrid mobile robot
    Guo F.
    Wang S.-K.
    Wang J.-Z.
    Kongzhi yu Juece/Control and Decision, 2022, 37 (06): : 1433 - 1444
  • [25] Research on gait planning of Hexapod wheel legged robot based on STM32 single chip microcomputer
    Chu Zenan
    Wei, Wang
    Yu, Caisheng
    2020 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2020), 2020, 853
  • [26] Multi-objective optimization in mobile robot path planning: a joint strategy of A* and simulated annealing algorithms
    Jiang, Zihan
    Li, Fumin
    Yang, Rui
    2024 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, CIS AND IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, RAM, CIS-RAM 2024, 2024, : 162 - 167
  • [27] Research on path planning model of multi-mobile robot based on artificial immune network algorithm
    Shi, Chunxue
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 86 - 86
  • [28] Research on multi-objective point path planning for mobile inspection robot based on Multi-Informed-Rapidly Exploring Random Tree
    Yang, Hongjuan
    Luo, Xu
    Duan, Chao
    Wang, Peishen
    Zhu, Kaidi
    Deng, Xingqiao
    Ren, Wenjuan
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 151
  • [29] Research on Terminal Distance Index-Based Multi-Step Ant Colony Optimization for Mobile Robot Path Planning
    Li, Dongdong
    Wang, Lei
    Cai, Jingcao
    Ma, Kangkang
    Tan, Tielong
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 20 (04) : 2321 - 2337