FastSLAM: a factored solution to the simultaneous localization and mapping problem
Eighteenth national conference on Artificial intelligence
Learning to Program with Personal Robots: Influences on Student Motivation
ACM Transactions on Computing Education (TOCE)
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This synopsis presents work with two inexpensive robot platforms on which we have implemented a vision-based FastSLAM algorithm for landmark mapping. The results reinforce the educational scalability of the iRobot Create and IPRE Myro/Scribbler low-cost platforms: they offer not only a compelling invitation to the study of computer science and robotics, but a means of engaging students in the recent and ongoing work of the AI robotics community.