Exploring the application of computer game theory to automated assembly

H. Yu; T. Lim; J. Ritchie; R. Sung; S. Louchart; I.a. Stănescu; I. Roceanu; S. De Freitas

doi:10.1016/j.procs.2012.10.078

Exploring the application of computer game theory to automated assembly

H. Yu, T. Lim, J. Ritchie, R. Sung, S. Louchart, I.a. Stănescu, I. Roceanu, S. De Freitas

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

This paper presents a method for automatic mechanical part assembly planning based on innovative use of artificial intelligence (AI) technology from games. The dynamic topological graph for the planning is generated using a heuristic search method based on characteristic information of each part. A prototype system has been developed to demonstrate the feasibility of the method. During the procedure, users are able to interact with the system due to the dynamic characteristics of the
method.

Original language	English
Pages (from-to)	266-273
Journal	Procedia Computer Science
Volume	15
DOIs	https://doi.org/10.1016/j.procs.2012.10.078
Publication status	Published - 1 Jan 2012

Keywords

Game theory
GOAP
game AI
virtual assembly

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10.1016/j.procs.2012.10.078

Cite this

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abstract = "This paper presents a method for automatic mechanical part assembly planning based on innovative use of artificial intelligence (AI) technology from games. The dynamic topological graph for the planning is generated using a heuristic search method based on characteristic information of each part. A prototype system has been developed to demonstrate the feasibility of the method. During the procedure, users are able to interact with the system due to the dynamic characteristics of the method.",

keywords = "Game theory, GOAP, game AI, virtual assembly",

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AU - Stănescu, I.a.

AU - Roceanu, I.

AU - De Freitas, S.

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AB - This paper presents a method for automatic mechanical part assembly planning based on innovative use of artificial intelligence (AI) technology from games. The dynamic topological graph for the planning is generated using a heuristic search method based on characteristic information of each part. A prototype system has been developed to demonstrate the feasibility of the method. During the procedure, users are able to interact with the system due to the dynamic characteristics of the method.

KW - Game theory

KW - GOAP

KW - game AI

KW - virtual assembly

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VL - 15

SP - 266

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JO - Procedia Computer Science

JF - Procedia Computer Science

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Exploring the application of computer game theory to automated assembly

Abstract

Keywords

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