Exploring an unknown environment with an intelligent virtual agent

Authors:
In-Cheol Kim
Affiliations:
Department of Computer Science, Kyonggi University, Suwon-si, Kyonggi-do, South Korea
Venue:
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Year:
2006

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Abstract

We consider the problem of exploring an unknown environment with an intelligent virtual agent. Traditionally research efforts to address the exploration and mapping problem have focused on the graph-based space representations and the graph search algorithms. In this paper, we propose DFS-RTA* and DFS-PHA*, two real-time graph search algorithms for exploring and mapping an unknown environment. Both algorithms are based upon the simple depth-first search strategy. However, they adopt different real-time shortest path-finding methods for fast backtracking to the last unexhausted node. Through some experiments with a virtual agent deploying in a 3D interactive computer game environment, we confirm completeness and efficiency of two algorithms.