Skip navigation
Skip navigation

Hierarchical path planning for multi-size agents in heterogenous environments

Harabor, Daniel; Botea, Adi


Path planning is a central topic in games and other research areas, such as robotics. Despite this, very little research addresses problems involving agents with multiple sizes and terrain traversal capabilities. In this paper we present a new planner, Hierarchical Annotated A* (HAA*), and demonstrate how a single abstract graph can be used to plan for agents with heterogeneous sizes and terrain traversal capabilities. Through theoretical analysis and experimental evaluation we show that HAA*...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
Source: Proceedings of IEEE Symposium on Computational Intelligence and Games (CIG-08)
DOI: 10.1109/CIG.2008.5035648


File Description SizeFormat Image
01_Harabor_Hierarchical_path_planning_for_2008.pdf607.87 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator