Autonomous Virtual Agent Navigation in Virtual Environments

This paper presents a solution for the behavioural animation of autonomous virtual agent navigation in virtual environments. We focus on using Dempster-Shafer’s Theory of Evidence in developing visual sensor for virtual agent. The role of the visual sensor is to capture the information about the vir...

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Main Authors: Jaafar, J., McKenzie, E.
Format: Article
Published: World Academy of Science, Engineering and Technology (WASET) 2010
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2850/
http://www.waset.org/journals/ijcie/v4/v4-1-3.pdf
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author Jaafar, J.
McKenzie, E.
author_facet Jaafar, J.
McKenzie, E.
author_sort Jaafar, J.
building UTP Institutional Repository
collection Online Access
description This paper presents a solution for the behavioural animation of autonomous virtual agent navigation in virtual environments. We focus on using Dempster-Shafer’s Theory of Evidence in developing visual sensor for virtual agent. The role of the visual sensor is to capture the information about the virtual environment or identifies which part of an obstacle can be seen from the position of the virtual agent. This information is require for virtual agent to coordinate navigation in virtual environment. The virtual agent uses fuzzy controller as a navigation system and Fuzzy α − level for the action selection method. The result clearly demonstrates the path produced is reasonably smooth even though there is some sharp turn and also still not diverted too far from the potential shortest path. This had indicated the benefit of our method, where more reliable and accurate paths produced during navigation task.
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publishDate 2010
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spelling oai:scholars.utp.edu.my:28502014-03-21T21:34:27Z http://scholars.utp.edu.my/id/eprint/2850/ Autonomous Virtual Agent Navigation in Virtual Environments Jaafar, J. McKenzie, E. QA76 Computer software This paper presents a solution for the behavioural animation of autonomous virtual agent navigation in virtual environments. We focus on using Dempster-Shafer’s Theory of Evidence in developing visual sensor for virtual agent. The role of the visual sensor is to capture the information about the virtual environment or identifies which part of an obstacle can be seen from the position of the virtual agent. This information is require for virtual agent to coordinate navigation in virtual environment. The virtual agent uses fuzzy controller as a navigation system and Fuzzy α − level for the action selection method. The result clearly demonstrates the path produced is reasonably smooth even though there is some sharp turn and also still not diverted too far from the potential shortest path. This had indicated the benefit of our method, where more reliable and accurate paths produced during navigation task. World Academy of Science, Engineering and Technology (WASET) 2010-08-29 Article PeerReviewed Jaafar, J. and McKenzie, E. (2010) Autonomous Virtual Agent Navigation in Virtual Environments. International Journal of Computer and Information Engineering, 4 (1). pp. 19-26. http://www.waset.org/journals/ijcie/ http://www.waset.org/journals/ijcie/v4/v4-1-3.pdf http://www.waset.org/journals/ijcie/v4/v4-1-3.pdf
spellingShingle QA76 Computer software
Jaafar, J.
McKenzie, E.
Autonomous Virtual Agent Navigation in Virtual Environments
title Autonomous Virtual Agent Navigation in Virtual Environments
title_full Autonomous Virtual Agent Navigation in Virtual Environments
title_fullStr Autonomous Virtual Agent Navigation in Virtual Environments
title_full_unstemmed Autonomous Virtual Agent Navigation in Virtual Environments
title_short Autonomous Virtual Agent Navigation in Virtual Environments
title_sort autonomous virtual agent navigation in virtual environments
topic QA76 Computer software
url http://scholars.utp.edu.my/id/eprint/2850/
http://scholars.utp.edu.my/id/eprint/2850/
http://scholars.utp.edu.my/id/eprint/2850/
http://www.waset.org/journals/ijcie/v4/v4-1-3.pdf