How effective is ant colony optimisation at robot path planning

Aaron Wolfenden; Neil Vaughan

How effective is ant colony optimisation at robot path planning

Aaron Wolfenden, Neil Vaughan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static.

Original language	English
Title of host publication	Proceedings of AISB Annual Convention 2018
Publication status	Published - 6 Apr 2018

Access to Document

https://chesterrep.openrepository.com/handle/10034/621020Licence: CC BY-NC-ND

Cite this

@inproceedings{4246261a224e4669903c1a192c18cd3d,

title = "How effective is ant colony optimisation at robot path planning",

abstract = "This project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static.",

author = "Aaron Wolfenden and Neil Vaughan",

year = "2018",

month = apr,

day = "6",

language = "English",

booktitle = "Proceedings of AISB Annual Convention 2018",

}

TY - GEN

T1 - How effective is ant colony optimisation at robot path planning

AU - Wolfenden, Aaron

AU - Vaughan, Neil

PY - 2018/4/6

Y1 - 2018/4/6

N2 - This project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static.

AB - This project involves investigation of the problem robot path planning using ant colony optimisation heuristics to construct the quickest path from the starting point to the end. The project has developed a simulation that successfully simulates as well as demonstrates visually through a graphical user interface, robot path planning using ant colony optimisation. The simulation shows an ability to traverse an unknown environment from a start point to an end and successfully construct a route for others to follow both when the terrain is dynamic and static.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85056897911&partnerID=MN8TOARS

M3 - Conference contribution

BT - Proceedings of AISB Annual Convention 2018

ER -

How effective is ant colony optimisation at robot path planning

Abstract

Access to Document

Other files and links

Fingerprint

Cite this