Intelligence Technology for Ubiquitous Robots

Kim, Jong-Hwan; Zaheer, Sheir Afgen; Ryu, Si-Jung

doi:10.1007/978-3-319-12922-8_10

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…UR, often named also as Ubibot, consists basically of three parts-virtual robot, real robot and sensory system, also known as Sobot (software robot), Mobot (mobile robot) and Embot (embedded system), respectively. Just the last mentioned part, Embot, represents the modified IoT environment in the form of IS [12].…”

Section: Means Of Iot For Purposes Of Ubiquitous Roboticsmentioning

confidence: 99%

“…Therefore, such a robot contains some additional programming modules and incorporates IS, too. This new robotic structure is defined as the so-called Ubiquitous Robot (UR), which can consider situations and knowledge unknown to conventional robots with exclusively onboard sensors [12]. Although there are publications, which deal with the use of 'pure' IoT in robotics and the term IoT robots is also used for this area, we will deal with the use of IS in robotics as well as the structure of UR (see Section 3).…”

Section: Introductionmentioning

confidence: 99%

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Means of IoT and Fuzzy Cognitive Maps in Reactive Navigation of Ubiquitous Robots

et al. 2021

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Development of accessible and cheap sensors as well as the possibility to transfer and process huge amounts of data offer new possibilities for many areas utilizing till now conventional approaches. Navigation of robots and autonomous vehicles is no exception in this aspect and Internet of Things (IoT), together with the means of computational intelligence, represents a new way for construction and use of robots. In this paper, the possibility to move sensors from robots to their surroundings with the help of IoT is presented and the modification of the IoT concept in the form of intelligent space as well as the concept of ubiquitous robot are shown in the paper. On an example of route tracking, we will clarify the potential of distributed networked sensors and processing their data with the use of fuzzy cognitive maps for robotic navigation. Besides, two modifications of adaptation approaches, namely particle swarm optimization and migration algorithm, are presented here. A series of simulations was performed, which are discussed and future research directions are proposed.

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Section: Means Of Iot For Purposes Of Ubiquitous Roboticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%