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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 5, 2023.
Abstract: Due to the immobility of devices in conventional intelligent spaces, the quality and quantity of their applications (i.e., services) are thus restricted. To provide better and more applications, the devices in the spaces must be able to move autonomously to ideal positions. To solve this issue, the concepts of reconfigurable intelligent space (R+iSpace) and mobile modules (MoMos) have been introduced. Each device in the R+iSpace is carried by one or more MoMos that can freely move on the ceiling and walls. Consequently, the R+iSpace has evolved into a user-centered intelligent space, where devices can move to the user to provide services instead of the user having to move to where the devices are. In this work, several promising applications are introduced as open research challenges for the R+iSpace and the MoMo. In fact, various wall-climbing robots have been developed, however, their speed and carrying capacity are insufficient for adoption for the MoMo and the R+iSpace. Therefore, the development of MoMo requires the creation of entirely new designs and mechanisms. In addition to introducing promising applications, this work provides an overview of all versions of the MoMo that have been developed to gradually make it deployable in a realistic R+iSpace.
Dinh Tuan Tran, Tatsuki Satooka and Joo-Ho Lee, “Mobile Module in Reconfigurable Intelligent Space: Applications and a Review of Developed Versions” International Journal of Advanced Computer Science and Applications(IJACSA), 14(5), 2023. http://dx.doi.org/10.14569/IJACSA.2023.01405116
@article{Tran2023,
title = {Mobile Module in Reconfigurable Intelligent Space: Applications and a Review of Developed Versions},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.01405116},
url = {http://dx.doi.org/10.14569/IJACSA.2023.01405116},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {5},
author = {Dinh Tuan Tran and Tatsuki Satooka and Joo-Ho Lee}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.