RETRACTED: 3D path planning in threat environment based on fuzzy logic (Retracted Article)

被引:42
作者
Liu, Ziwei [1 ]
Xu, Ziyu [1 ,2 ]
Zheng, Xiyu [1 ]
Zhao, Yongxing [1 ]
Wang, Jinghua [1 ,3 ]
机构
[1] Changchun Univ Sci & Technol, Coll Mech & Elect Engn, Changchun 130022, Jilin, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[3] Changchun Univ Sci & Technol, Minist Educ, Key Lab Cross Scale Micro & Nano Mfg, Changchun, Peoples R China
关键词
Mobile robot; fuzzy logic system; threat assessment; Hybrid-A*; path planning; ALGORITHM;
D O I
10.3233/JIFS-232076
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ground mobile robots can replace human beings to perform special tasks in threatened areas. Path planning technology provides mobile robots with the ability to reach the target position autonomously. When there are threats in the environment, the ground mobile robot needs to be able to reach the target position quickly and safely. Because threats are often difficult to calculate in such environments, and planned paths are difficult to use for path tracing. Therefore, path planning should comprehensively consider the distance, continuity and possible threats when moving. Aiming at the problem that the threat in the environment cannot be accurately calibrated usually, this paper proposes a method to mark the threat degree on the global elevation map by using the fuzzy logic system. In order to verify the feasibility of the algorithm, the improved algorithm with the classical algorithm in different environments and the current similar algorithm are compared with the current simulation experiment. The simulation results show that the algorithm has achieved good results, which proves the superiority of the algorithm. The path planning results of the algorithm in the threatened 3D environment not only have less threat, but also have better adaptability to the natural environment, and the planning path quality is better than that of the same type of algorithm.
引用
收藏
页码:7021 / 7034
页数:14
相关论文
共 37 条
[21]   Aircraft Parking Trajectory Planning in Semistructured Environment Based on Kinodynamic Safety RRT [J].
Meng, Xianglei ;
Wang, Nengjian ;
Liu, Qinhui .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
[22]   Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm [J].
Miao, Changwei ;
Chen, Guangzhu ;
Yan, Chengliang ;
Wu, Yuanyuan .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 156
[23]   An enhanced genetic algorithm for path planning of autonomous UAV in target coverage problems [J].
Pehlivanoglu, Y. Volkan ;
Pehlivanoglu, Perihan .
APPLIED SOFT COMPUTING, 2021, 112
[24]   Path Planning for Autonomous Mobile Robots: A Review [J].
Sanchez-Ibanez, Jose Ricardo ;
Perez-del-Pulgar, Carlos J. ;
Garcia-Cerezo, Alfonso .
SENSORS, 2021, 21 (23)
[25]   Path Planning Aware of Robot's Center of Mass for Steep Slope Vineyards [J].
Santos, Luis ;
Santos, Filipe ;
Mendes, Jorge ;
Costa, Pedro ;
Lima, Jose ;
Reis, Ricardo ;
Shinde, Pranjali .
ROBOTICA, 2020, 38 (04) :684-698
[26]   Probabilistic Robust Path Planning for Nonholonomic Arbitrary-Shaped Mobile Robots Using a Hybrid A* Algorithm [J].
Schaefle, Tobias Rainer ;
Uchiyama, Naoki .
IEEE ACCESS, 2021, 9 :93466-93479
[27]   A parallel compact cuckoo search algorithm for three-dimensional path planning [J].
Song, Pei-Cheng ;
Pan, Jeng-Shyang ;
Chu, Shu-Chuan .
APPLIED SOFT COMPUTING, 2020, 94
[28]   Mobile Robot Path Planning Based on Improved Ant Colony Algorithm [J].
Su, Qinggang ;
Yu, Wangwang ;
Liu, Jun .
2021 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE (ACCTCS 2021), 2021, :220-224
[29]  
Tang BJ, 2021, J ADV COMPUT INTELL, V25, P64
[30]   Geometric A-Star Algorithm: An Improved A-Star Algorithm for AGV Path Planning in a Port Environment [J].
Tang, Gang ;
Tang, Congqiang ;
Claramunt, Christophe ;
Hu, Xiong ;
Zhou, Peipei .
IEEE ACCESS, 2021, 9 :59196-59210