Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137942
Title: A multimodal person-following system for telepresence applications
Authors: Pang, Wee Ching
Seet, Gerald Gim Lee
Yao, Xiling
Keywords: Engineering::Mechanical engineering::Robots
Issue Date: 2013
Source: Pang, W. C., Seet, G. G. L., & Yao, X. (2013). A multimodal person-following system for telepresence applications. Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology (VRST 2013), 157-164. doi:10.1145/2503713.2503722
Abstract: This paper presents the design and implementation of a multimodal person-following system for a mobile telepresence robot. A color histogram matching and position matching algorithm was developed for a person-recognition function using Kinect sensors. Robot motion was controlled by adjusting its velocity according to the humans position in relation to the robot. The robot was able to follow the targeted person in various person-following modes, such as the back-following mode, the side-by-side accompaniment mode as well as the front-guiding mode. An obstacle avoidance function was also implemented using the virtual potential field algorithm.
URI: https://hdl.handle.net/10356/137942
DOI: 10.1145/2503713.2503722
Rights: © 2013 ACM. All rights reserved. This paper was published in Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology (VRST 2013) and is made available with permission of ACM.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IMI Conference Papers

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