NDLI: Experiences with simulated robot soccer as a teaching tool

Content Provider	IEEE Xplore Digital Library
Author	Hill, R. van den Hengel, A.
Copyright Year	2005
Description	Author affiliation: Sch. of Comput. Sci., Adelaide Univ., SA, 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.
Starting Page	387
Ending Page	390
File Size	144668
Page Count	4
File Format	PDF
ISBN	0769523161
DOI	10.1109/ICITA.2005.135
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Educational robots Computational modeling Computer simulation Education Robot sensing systems Performance analysis Australia Artificial intelligence Intelligent robots
Content Type	Text
Resource Type	Article

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