Mobile Robot Path Planning in Complicated Environment

被引：0
|
作者：
Pan, Hu [1 ]
Guo, Chen [1 ]
Wang, Zhaodong [1 ]
机构：
[1] Dalian Martime Univ, Dalian 116026, Peoples R China
来源：
2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2018年
基金：
中国国家自然科学基金;
关键词：
OBSTACLE AVOIDANCE;
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：
The function of potential field in the traditional artificial potential field method only contains the position distance information, it can only deal with the path planning in static environment. By modifying the potential field, the velocity and acceleration information are introduced into the function of potential field to make the robot can avoid dynamic obstacle. In addition, taking into account the large number of static and dynamic obstacles in complex environment, A* algorithm is used to obtain the global sub-target points to guide the robot path planning. Simulation results show that the improved artificial potential field method can not only avoid dynamic obstacles but also get the optimized path.
引用
收藏
页码：474 / 478
页数：5
相关论文
共 50 条
  • [31] Path Planning of Nonholonomic Mobile Robot for Maximum Information Collection in Dynamic Environment
    Zhang, Rui
    Liu, Weirong
    Zhang, Xiaoyong
    Jiang, Fu
    Chen, Bin
    [J]. ROBOT INTELLIGENCE TECHNOLOGY ANDAPPLICATIONS 3, 2015, 345 : 277 - 289
  • [32] Disordered and Multiple Destinations Path Planning Methods for Mobile Robot in Dynamic Environment
    Dong, Yong-feng
    Xia, Hong-mei
    Zhou, Yan-cong
    [J]. JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016
  • [33] A Optimal Path Planning of Multi-destinations for Mobile Robot in Complex Environment
    Liu, Ping
    Wang, Chunying
    Qin, Hongzheng
    Sun, Jinju
    [J]. 2018 CHINESE AUTOMATION CONGRESS (CAC), 2018, : 478 - 482
  • [34] Path Planning of a Mobile Cable-Driven Parallel Robot in a Constrained Environment
    Rasheed, Tahir
    Long, Philip
    Marquez-Gamez, David
    Caro, Stephane
    [J]. CABLE-DRIVEN PARALLEL ROBOTS (CABLECON 2019), 2019, 74 : 257 - 268
  • [35] A Cooperative Path Planning Algorithm for a Multiple Mobile Robot System in a Dynamic Environment
    Yu, Wentao
    Peng, Jun
    Zhang, Xiaoyong
    Lin, Kuo-chi
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2014, 11
  • [36] Mobile Recharger Path Planning and Recharge Scheduling in a Multi-Robot Environment
    Kundu, Tanmoy
    Saha, Indranil
    [J]. 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 3635 - 3642
  • [37] Mobile Robot Path Planning Based on Local Environment Modeling and Adaptive Window
    Zhong Xunyu
    Peng Xiafu
    Zhou Jiehua
    Huang Xiaoci
    [J]. MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 679 - +
  • [38] DP-based path planning of a spherical mobile robot in an environment with obstacles
    Roozegar, M.
    Mahjoob, M. J.
    Jahromi, M.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (10): : 4923 - 4938
  • [39] Expecting the Unexpected: Measure the Uncertainties for Mobile Robot Path Planning in Dynamic Environment
    Li, Yan
    Mac Namee, Brian
    Kelleher, John
    [J]. TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, 2014, 8069 : 363 - 374
  • [40] Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm
    Hosseininejad, Seyedhadi
    Dadkhahe, Chitra
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (02):
12345