The path planning algorithm for UUV based on the fusion of grid obstacles of artificial potential field

Sun, Mingxiao; Xiao, Xiaotian; Luan, Tiantian; Zhang, Xiaoshuang; Wu, Baoqi; Zhen, Liqiang

doi:10.1016/j.oceaneng.2024.118043

Ocean Engineering

2024

DOI: 10.1016/j.oceaneng.2024.118043

|View full text |Cite

The path planning algorithm for UUV based on the fusion of grid obstacles of artificial potential field

Mingxiao Sun,

Xiaotian Xiao,

Tiantian Luan

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Leader-follower control and APF for Multi-USV coordination and obstacle avoidance

Yuan,

Zhang,

et al. 2024

Ocean Engineering

View full text Add to dashboard Cite

Leader-follower control and APF for Multi-USV coordination and obstacle avoidance

Yuan,

Zhang,

et al. 2024

Ocean Engineering

View full text Add to dashboard Cite

A method for obtaining the starting set of formation based on IPSO

Li,

Yi,

Miao

et al. 2024

AIP Advances

View full text Add to dashboard Cite

The formation of intelligent platforms is a multi-objective constraint problem. It is necessary for the multi-agent to automatically generate the path from the initial position to the specified end point, and at the same time meet the constraints of space collision avoidance on the multi-target intersection path and the constraint of the agent’s motion ability, and pursue the shortest formation time of the whole formation as much as possible. In this paper, we propose an improved method for obtaining the starting set of multi-agent formation based on particle swarm optimization. First, the starting point set of the formation is defined, and then the particle swarm optimization algorithm is selected as the optimization algorithm to find the best starting point of the formation. Then the turning performance of the intelligent platform is studied, and the assembly route of each agent is designed by combining the Dubins curve. The simulation results show that the proposed method avoids collision between agents, shortens the time of agent formation assembly, and effectively ensures the reliability of the assembly route.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The path planning algorithm for UUV based on the fusion of grid obstacles of artificial potential field

Cited by 2 publications

References 20 publications

Leader-follower control and APF for Multi-USV coordination and obstacle avoidance

Leader-follower control and APF for Multi-USV coordination and obstacle avoidance

A method for obtaining the starting set of formation based on IPSO

Contact Info

Product

Resources

About