Abstract
This paper presents a human-aided cleaning algorithm that can be implemented on low-cost robot architecture while the cleaning performance far exceeds the conventional random style cleaning. We clarify the advantages and disadvantages of the two notable cleaning robot styles: the random and the mapping styles, and show the possibility how we can achieve the performance of the complicated mapping style under the random style-like robot architecture using the idea of human-aided cleaning algorithm. Experimental results are presented to show the cleaning performance.
This research has been supported by the Ministry of Education and Human Resources Development, S. Korea, under the grant of the second stage of BK21 project.
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© 2007 Springer-Verlag Berlin Heidelberg
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Kim, S., Kim, K., Kim, TH. (2007). Human-Aided Cleaning Algorithm for Low-Cost Robot Architecture. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_39
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DOI: https://doi.org/10.1007/978-3-540-73110-8_39
Publisher Name: Springer, Berlin, Heidelberg
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