Abstract
This paper reports the project of a shopping mall guide robot, named KeJia, which is designed for customer navigation, information providing and entertainment in a real environment. Our introduction focuses on the designs of robot’s hardware and software, faced challenges and the multimodal interaction methods including using a mobile phone app. In order to adapt the current localization and navigation techniques to such large and complex shopping mall environment, a series of related improvements and new methods are proposed. The robot is deployed in a large shopping mall for field test and stable operation for a fairly long time. The result demonstrates the stability, validity and feasibility of this robot system, and gives a positive reward to our original design motivation.
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CITATION STYLE
Chen, Y., Wu, F., Shuai, W., Wang, N., Chen, R., & Chen, X. (2015). KeJia robot–an attractive shopping mall guider. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9388 LNCS, pp. 145–154). Springer Verlag. https://doi.org/10.1007/978-3-319-25554-5_15
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