@conference {472,
	title = {Domain Specific Modeling Language for Test World Creation},
	booktitle = {CAT Vehicle Research Experience for Undergraduates},
	year = {2019},
	month = {08/2019},
	publisher = {The University of Arizona},
	organization = {The University of Arizona},
	address = {Tucson},
	abstract = {<p>It is often necessary to use a 3D physics simulator in order to model and test complex robotic systems. Verifying certain behaviors of systems in the real world can be costly, time-consuming, and even dangerous, while simulations are relatively cheap and fast. However, creating simulated environments to test robotic behaviors can take up quite a lot of time and processing power. In order for behaviors to be tested in a variety of scenarios, multiple environments must be created, causing verification time to increase. This paper presents a domain-specific modeling language that can be used to speed up this process. This modeling language can be used in WebGME to generate multiple world and launch files in Gazebo, a 3D dynamics simulator. These world files can then be used to test various behaviors of complex robots such as the CAT Vehicle (Cognitive and Autonomous Test Vehicle) in a variety of simulated environments. This model language can save valuable testing time by quickly creating usable test files for complex physics based models such as the CAT Vehicle.</p>
},
	keywords = {autonomous vehicles, dsml, simulation},
	url = {http://csl.arizona.edu/content/domain-specific-modeling-language-test-world-creation},
	author = {Jill Alexander and Alex Pyryt and Rahul Bhadani and Matthew Bunting}
}
