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ICU: An introduction to object identification and mapping
A single undergrad student, who was new to the topics of robot vision and mapping, over the course of a semester completed a scavenger hunt robot project. The robot was programmed to search for and identify a finite set of brightly colored objects using a color blob tracking vision sensor, and display a map of where they were located. The robot was given five trial runs in which it was able to find most of the colored objects and draw a map of where they were located. Overall, the project was a success. These results show the possibility of having such projects that include both vision and mapping be completed by smaller groups of beginner students in short amounts of time; such projects used to involve teams of five or six students.
MacAllister B., Santore J. (2009). ICU: An introduction to object identification and mapping. Proceedings from: 2009 IEEE International Conference on Technologies for Practical Robot Applications, TePRA 2009. 210-217. https://doi.org/10.1109/TEPRA.2009.5339618
Virtual Commons Citation
MacAllister, Brian and Santore, John (2009). ICU: An introduction to object identification and mapping. In Mathematics and Computer Science Faculty Publications. Paper 20.
Available at: https://vc.bridgew.edu/math_compsci_fac/20