Wolfenden, AaronVaughan, Neil2018-03-232018-03-232018-04-06Wolfenden, A., & Vaughan, N. (2018). How effective is ant colony optimisation at robot path planning. In Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB 2018): Proceedings of the AISB2018 conference, 4-6 April 2018, University of Liverpool (pp. 315-317). Bath, United Kingdom: Society for the Study of Artificial Intelligence & Simulation of Behaviour.9781510872769http://hdl.handle.net/10034/621020This 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 staticenhttp://creativecommons.org/licenses/by-nc-nd/4.0/Ant ColonyOptimisationPath planningConference Contribution