355 related articles for article (PubMed ID: 28255297)
1. A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles.
Ni J; Wu L; Shi P; Yang SX
Comput Intell Neurosci; 2017; 2017():9269742. PubMed ID: 28255297
[TBL] [Abstract][Full Text] [Related]
2. An Improved DSA-Based Approach for Multi-AUV Cooperative Search.
Ni J; Yang L; Shi P; Luo C
Comput Intell Neurosci; 2018; 2018():2186574. PubMed ID: 30627140
[TBL] [Abstract][Full Text] [Related]
3. Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments.
Cao X; Zhu D; Yang SX
IEEE Trans Neural Netw Learn Syst; 2016 Nov; 27(11):2364-2374. PubMed ID: 26485725
[TBL] [Abstract][Full Text] [Related]
4. Multi-UAV Path Planning Algorithm Based on BINN-HHO.
Li S; Zhang R; Ding Y; Qin X; Han Y; Zhang H
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560155
[TBL] [Abstract][Full Text] [Related]
5. A Real-Time Path Planning Algorithm for AUV in Unknown Underwater Environment Based on Combining PSO and Waypoint Guidance.
Yan Z; Li J; Wu Y; Zhang G
Sensors (Basel); 2018 Dec; 19(1):. PubMed ID: 30577636
[TBL] [Abstract][Full Text] [Related]
6. Dynamic Task Assignment and Path Planning of Multi-AUV System Based on an Improved Self-Organizing Map and Velocity Synthesis Method in Three-Dimensional Underwater Workspace.
Zhu D; Huang H; Yang SX
IEEE Trans Cybern; 2013 Apr; 43(2):504-14. PubMed ID: 22949070
[TBL] [Abstract][Full Text] [Related]
7. Fish and chips: implementation of a neural network model into computer chips to maximize swimming efficiency in autonomous underwater vehicles.
Blake RW; Ng H; Chan KH; Li J
Bioinspir Biomim; 2008 Sep; 3(3):034002. PubMed ID: 18626130
[TBL] [Abstract][Full Text] [Related]
8. Bioinspired neural network for real-time cooperative hunting by multirobots in unknown environments.
Ni J; Yang SX
IEEE Trans Neural Netw; 2011 Dec; 22(12):2062-77. PubMed ID: 22042152
[TBL] [Abstract][Full Text] [Related]
9. Containment control of networked autonomous underwater vehicles: A predictor-based neural DSC design.
Peng Z; Wang D; Wang W; Liu L
ISA Trans; 2015 Nov; 59():160-71. PubMed ID: 26506019
[TBL] [Abstract][Full Text] [Related]
10. AUV Path Planning Considering Ocean Current Disturbance Based on Cloud Desktop Technology.
Hu S; Xiao S; Yang J; Zhang Z; Zhang K; Zhu Y; Zhang Y
Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687967
[TBL] [Abstract][Full Text] [Related]
11. End-to-End AUV Motion Planning Method Based on Soft Actor-Critic.
Yu X; Sun Y; Wang X; Zhang G
Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502781
[TBL] [Abstract][Full Text] [Related]
12. Underwater Submarine Path Planning Based on Artificial Potential Field Ant Colony Algorithm and Velocity Obstacle Method.
Fu J; Lv T; Li B
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632060
[TBL] [Abstract][Full Text] [Related]
13. Fisher-Information-Matrix-Based USBL Cooperative Location in USV-AUV Networks.
Wang Z; Xu J; Feng Y; Wang Y; Xie G; Hou X; Men W; Ren Y
Sensors (Basel); 2023 Aug; 23(17):. PubMed ID: 37687887
[TBL] [Abstract][Full Text] [Related]
14. Improved Artificial Potential Field Algorithm Assisted by Multisource Data for AUV Path Planning.
Xing T; Wang X; Ding K; Ni K; Zhou Q
Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571463
[TBL] [Abstract][Full Text] [Related]
15. Bilevel Optimization-Based Time-Optimal Path Planning for AUVs.
Yao X; Wang F; Wang J; Wang X
Sensors (Basel); 2018 Nov; 18(12):. PubMed ID: 30486468
[TBL] [Abstract][Full Text] [Related]
16. Task Assignment and Path Planning for Multiple Autonomous Underwater Vehicles Using 3D Dubins Curves
Cai W; Zhang M; Zheng YR
Sensors (Basel); 2017 Jul; 17(7):. PubMed ID: 28696377
[TBL] [Abstract][Full Text] [Related]
17. Autonomous Underwater Navigation and Optical Mapping in Unknown Natural Environments.
Hernández JD; Istenič K; Gracias N; Palomeras N; Campos R; Vidal E; García R; Carreras M
Sensors (Basel); 2016 Jul; 16(8):. PubMed ID: 27472337
[TBL] [Abstract][Full Text] [Related]
18. Real-time robot path planning based on a modified pulse-coupled neural network model.
Qu H; Yang SX; Willms AR; Yi Z
IEEE Trans Neural Netw; 2009 Nov; 20(11):1724-39. PubMed ID: 19775961
[TBL] [Abstract][Full Text] [Related]
19. Visual inspection of sea bottom structures by an autonomous underwater vehicle.
Foresti GL
IEEE Trans Syst Man Cybern B Cybern; 2001; 31(5):691-705. PubMed ID: 18244834
[TBL] [Abstract][Full Text] [Related]
20. Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach.
Khan JU; Cho HS
Sensors (Basel); 2016 Sep; 16(10):. PubMed ID: 27706042
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
