Multi-Objective Mobile Robot Path Planning Based on A * Search

被引:0
|
作者
Jeddisaravi, Kossar [1 ]
Alitappeh, Reza Javanmard [2 ]
Guimaraes, Frederico G. [2 ]
机构
[1] Univ Fed Minas Gerais, Grad Program Elect Engn, Av Antonio Carlos 6627, BR-31270901 Belo Horizonte, MG, Brazil
[2] Univ Fed Minas Gerais, Dept Elect Engn, BR-31270901 Belo Horizonte, MG, Brazil
关键词
Path planning problem; Multi-objective problem; A* graph search algorithm; ALGORITHM; OPTIMIZATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Finding a path for a robot is a fundamental task in robot motion planning. Depending on applications and robot's capabilities, different objectives can be defined in multi-objective path planning. In this paper, by considering a Mars Rover scenario, we define several real objectives that must be minimized. The objectives for the proposed scenario are to minimize difficulty, danger, elevation, and length of the path from a start to a goal point. A* search algorithm is applied to solve the problem, since it guarantees to find a complete and optimal solution that minimizes the path cost. Simulation results in a simple map and more realistic scenario validate the applicability of the proposed method.
引用
收藏
页码:7 / 12
页数:6
相关论文
共 50 条
  • [1] Multi-objective path planning for the mobile robot
    Li, Caihong
    Li, Yibin
    Zhou, Fengyu
    Fan, Chen
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 2248 - +
  • [2] Robot path planning based on multi-objective optimization with local search
    Xia, Min
    Zhang, Chong
    Weng, Liguo
    Liu, Jia
    Wang, Ying
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (02) : 1755 - 1764
  • [3] Mobile robot path planning based on multi-objective evolutionary programming
    Shen, Xiaoning
    Guo, Yu
    Hu, Weili
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3114 - +
  • [4] Multi-objective optimization approach for coverage path planning of mobile robot
    Sharma, Monex
    Voruganti, Hari Kumar
    [J]. ROBOTICA, 2024,
  • [5] Multi-objective mobile robot path planning algorithm based on adaptive genetic algorithm
    Yang, Changfu
    Zhang, Tao
    Pan, Xihao
    Hu, Mengyang
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 4460 - 4466
  • [6] A Multi-Objective Optimal Mobile Robot Path Planning Based on Whale Optimization Algorithm
    Dao, Kien
    Pan, Tien-Szu
    Pan, Jeng-Shyang
    [J]. PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 337 - 342
  • [7] A multi-objective approach for local path planning of autonomous mobile robot based on metaheuristics
    Pattnaik, Sanat K.
    Panda, Sumanta
    Mishra, Debadutta
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (10):
  • [8] Multi-Objective Path Planning for Unrestricted Mobile
    Guo, Feng
    Wang, Hongrui
    Tian, Yantao
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 1046 - 1051
  • [9] Combined improved A* and greedy algorithm for path planning of multi-objective mobile robot
    Dan Xiang
    Hanxi Lin
    Jian Ouyang
    Dan Huang
    [J]. Scientific Reports, 12
  • [10] Multi-objective genetic algorithm for mobile robot path planning in industrial automation
    Suresh, K. S.
    Ravichandran, K. S.
    Venugopal, S.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2023, 44 (04) : 6829 - 6842