Work

Optimal Path Planning of Unmanned Surface Vehicles

Year: 2018

Type: review

Abstract: Present study reviews the current methodologies adopted for optimal path planning of single unmanned surface vehicles and studies associated with swarm of unmanned surface vehicles. This also discusses the challenges and scopes, which can act as objectives, for future research towards path planning of such marine craft.

Source: PEARL (University of Plymouth)

Authors: Yogang Singh, Sanjay Sharma, Daniel C. Hatton, Robert Sutton

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funder: Commonwealth Scholarship Commission

OpenAlex ID: W2786009683

FWCI: 0.823

Cites:

Cited by: 23

Related to: 10