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|Title:||Experiences with simulated robot soccer as a teaching tool|
Van Den Hengel, A.
|Citation:||Third International Conference on Information Technology and Applications : 4-7 July 2005, Sydney, Australia : proceedings / Xiangjian He (ed.), vol. 1, pp. 387-390|
|Publisher:||IEEE Computer Society|
|Conference Name:||International Conference on Information Technology and Applications (3rd : 2005 : Sydney, Australia)|
|Hill, R. ; van den Hengel, A|
|Abstract:||The development of assignments for undergraduate teaching typically requires a compromise between what is achievable by an average student and what engages the interest of a more advanced member of the class. Selecting a suitable compromise is particularly problematic for undergraduate artificial intelligence (AI) courses which typically attempt to cover a very broad range of topics, without delving too deeply into the details. Ideally, a single problem would be selected whose solution could be approached with more than one technique covered in the course, enabling students to carry out a comparative analysis of performance. Robot soccer simulation has provided an interesting platform for artificial intelligence research and is increasingly being used as a teaching apparatus. There are a number of limitations with existing simulation methodologies for this purpose. Current robot soccer simulators are aimed at research groups where accuracy is paramount and all facets of the real system must be emulated. However, many of the intricacies of a real robot soccer player are inappropriate for a teaching environment, as they detract from desired learning outcomes. Consequently, there is a need for a simulation that employs a simplified set of game rules and dynamics. This paper describes the design and implementation of such a framework and presents experiences gained from its use as a third year practical.|
|Description:||© Copyright 2005 IEEE|
|Appears in Collections:||Computer Science publications|
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