Title :
ICU: An introduction to object identification and mapping
Author :
MacAllister, Brian ; Santore, John
Author_Institution :
Dept. of Math. & Comput. Sci., Bridgewater State Coll., Bridgewater, MA, USA
Abstract :
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.
Keywords :
SLAM (robots); image sensors; object detection; object recognition; robot programming; robot vision; tracking; ICU; color blob tracking vision sensor; object identification; object mapping; robot vision; scavenger hunt robot project; Analog circuits; Discrete event simulation; Frequency synthesizers; Hardware design languages; Performance analysis; Phase locked loops; Phase noise; Radio frequency; Semiconductor device modeling; Testing;
Conference_Titel :
Technologies for Practical Robot Applications, 2009. TePRA 2009. IEEE International Conference on
Conference_Location :
Woburn, MA
Print_ISBN :
978-1-4244-4991-0
Electronic_ISBN :
978-1-4244-4992-7
DOI :
10.1109/TEPRA.2009.5339618